{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/dux/NeuralForceField/models\n"
     ]
    }
   ],
   "source": [
    "import logging\n",
    "from pathlib import Path\n",
    "from time import perf_counter\n",
    "\n",
    "import catkit\n",
    "import numpy as np\n",
    "from ase.build import bulk\n",
    "\n",
    "from mcmc import MCMC\n",
    "from mcmc.calculators import LAMMPSRunSurfCalc\n",
    "from mcmc.system import SurfaceSystem\n",
    "from mcmc.utils import setup_logger\n",
    "from mcmc.utils.plot import plot_summary_stats\n",
    "\n",
    "np.set_printoptions(precision=3, suppress=True)\n",
    "# uncomment and replace with correct path if there are errors with LAMMPS\n",
    "# os.environ[\"LAMMPS_POTENTIALS\"] = \"/path/to/lammps/potentials/\"\n",
    "# os.environ[\"LAMMPS_COMMAND\"] =\"/path/to/lammps/src/lmp_serial\"\n",
    "# os.environ[\"ASE_LAMMPSRUN_COMMAND\"] = os.environ[\"LAMMPS_COMMAND\"]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialize test slab and parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize paths\n",
    "surface_name = \"Cu_100\"\n",
    "run_folder = Path() / surface_name\n",
    "run_folder.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Initialize logger\n",
    "logger = setup_logger(\"mcmc\", run_folder / \"mc.log\", logging.INFO)\n",
    "logging.getLogger(\n",
    "    \"matplotlib.font_manager\"\n",
    ").disabled = True  # disable matplotlib font manager logging\n",
    "\n",
    "# Cu alat from https://www.copper.org/resources/properties/atomic_properties.html\n",
    "Cu_bulk = bulk(\"Cu\", \"fcc\", a=3.6147)\n",
    "slab = catkit.build.surface(\n",
    "    Cu_bulk,\n",
    "    size=(2, 2, 2),\n",
    "    miller=(1, 0, 0),\n",
    "    termination=0,\n",
    "    fixed=0,\n",
    "    vacuum=15.0,\n",
    "    orthogonal=False,\n",
    ")\n",
    "\n",
    "calc_settings = {\"pair_style\": \"eam\", \"pair_coeff\": [\"* * Cu_u3.eam\"]}\n",
    "\n",
    "system_settings = {\n",
    "    \"surface_name\": surface_name,\n",
    "    \"surface_depth\": 1,\n",
    "    \"cutoff\": 5.0,\n",
    "    \"near_reduce\": 0.01,\n",
    "    \"planar_distance\": 1.5,\n",
    "    \"no_obtuse_hollow\": True,\n",
    "    \"ads_site_type\": \"all\",\n",
    "}\n",
    "\n",
    "sampling_settings = {\n",
    "    \"total_sweeps\": 20,\n",
    "    \"sweep_size\": 2,\n",
    "    \"start_temp\": 1.0,  # in terms of kbT\n",
    "    \"perform_annealing\": True,\n",
    "    \"alpha\": 0.99,  # slowly anneal\n",
    "    \"adsorbates\": [\"Cu\"],\n",
    "    \"run_folder\": run_folder,\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up LAMMPS (calculator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pair_style': 'eam', 'pair_coeff': ['* * Cu_u3.eam']}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set up the LAMMPS calculator\n",
    "potential_file = Path() / \"../mcmc/potentials\" / \"Cu_u3.eam\"\n",
    "lammps_surf_calc = LAMMPSRunSurfCalc(\n",
    "    files=[potential_file],\n",
    "    keep_tmp_files=False,\n",
    "    keep_alive=False,\n",
    "    tmp_dir=Path.home() / \"vssr_tmp_files\",\n",
    ")\n",
    "lammps_surf_calc.set(**calc_settings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initialize surface system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "10:07:20 - mcmc.system | INFO: Initalizing adsorption sites with settings: {'surface_name': 'Cu_100', 'surface_depth': 1, 'cutoff': 5.0, 'near_reduce': 0.01, 'planar_distance': 1.5, 'no_obtuse_hollow': True, 'ads_site_type': 'all'}\n",
      "10:07:20 - mcmc.system | INFO: Generated adsorption coordinates are: [array([ 0.   ,  5.112, 18.307]), array([ 2.556,  0.   , 18.307]), array([ 0.   ,  2.556, 18.307]), array([ 2.556,  2.556, 18.307]), array([ 2.556,  3.834, 18.307])]...\n",
      "10:07:20 - mcmc.system | INFO: Initializing 16 virtual atoms\n",
      "10:07:20 - mcmc.system | INFO: Initial state is [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n",
      "10:07:20 - mcmc.system | INFO: Number of pristine atoms is 8\n",
      "10:07:20 - mcmc.system | INFO: Bulk indices are [0 1 2 3]\n",
      "10:07:20 - mcmc.system | INFO: Surface indices are [4 5 6 7]\n",
      "10:07:20 - mcmc.system | INFO: Constraints are FixAtoms(indices=[0, 1, 2, 3])\n"
     ]
    }
   ],
   "source": [
    "surface = SurfaceSystem(\n",
    "    slab,\n",
    "    calc=lammps_surf_calc,\n",
    "    system_settings=system_settings,\n",
    "    save_folder=run_folder,\n",
    ")\n",
    "surface.all_atoms.write(run_folder / \"Cu_100_2x2x2_all_virtual_ads.cif\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform MCMC and view results. Detailed results can be found in the corresponding run in the `Cu(100)/` folder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "10:07:20 - mcmc.mcmc | INFO: Using run folder Cu_100\n",
      "10:07:20 - mcmc.mcmc | INFO: There are 8 atoms in pristine slab\n",
      "10:07:20 - mcmc.mcmc | INFO: Running with total_sweeps = 20, sweep_size = 2, start_temp = 1.000\n",
      "10:07:20 - mcmc.mcmc | INFO: Starting with iteration 0\n",
      "10:07:20 - mcmc.mcmc | INFO: Temperature schedule is: ['1.000', '0.990', '0.980', '0.970', '0.961', '0.951', '0.941', '0.932', '0.923', '0.914', '0.904', '0.895', '0.886', '0.878', '0.869', '0.860', '0.851', '0.843', '0.835', '0.826']\n",
      "10:07:20 - mcmc.mcmc | INFO: In sweep 1 out of 20\n",
      "10:07:20 - mcmc.events.criterion | ERROR: No surface energy found in results dict\n",
      "10:07:21 - mcmc.system | INFO: Optimized structure has surface energy = -24.740\n",
      "10:07:21 - mcmc.mcmc | INFO: In sweep 2 out of 20\n",
      "10:07:22 - mcmc.system | INFO: Optimized structure has surface energy = -24.179\n",
      "10:07:22 - mcmc.mcmc | INFO: In sweep 3 out of 20\n",
      "10:07:22 - mcmc.system | INFO: Optimized structure has surface energy = -24.179\n",
      "10:07:22 - mcmc.mcmc | INFO: In sweep 4 out of 20\n",
      "10:07:23 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:23 - mcmc.mcmc | INFO: In sweep 5 out of 20\n",
      "10:07:24 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:24 - mcmc.mcmc | INFO: In sweep 6 out of 20\n",
      "10:07:24 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:24 - mcmc.mcmc | INFO: In sweep 7 out of 20\n",
      "10:07:25 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:25 - mcmc.mcmc | INFO: In sweep 8 out of 20\n",
      "10:07:25 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:25 - mcmc.mcmc | INFO: In sweep 9 out of 20\n",
      "10:07:26 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:26 - mcmc.mcmc | INFO: In sweep 10 out of 20\n",
      "10:07:27 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:27 - mcmc.mcmc | INFO: In sweep 11 out of 20\n",
      "10:07:28 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:28 - mcmc.mcmc | INFO: In sweep 12 out of 20\n",
      "10:07:29 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:29 - mcmc.mcmc | INFO: In sweep 13 out of 20\n",
      "10:07:29 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:29 - mcmc.mcmc | INFO: In sweep 14 out of 20\n",
      "10:07:30 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:30 - mcmc.mcmc | INFO: In sweep 15 out of 20\n",
      "10:07:31 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:31 - mcmc.mcmc | INFO: In sweep 16 out of 20\n",
      "10:07:31 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:31 - mcmc.mcmc | INFO: In sweep 17 out of 20\n",
      "10:07:32 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:32 - mcmc.mcmc | INFO: In sweep 18 out of 20\n",
      "10:07:33 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:33 - mcmc.mcmc | INFO: In sweep 19 out of 20\n",
      "10:07:33 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n",
      "10:07:33 - mcmc.mcmc | INFO: In sweep 20 out of 20\n",
      "10:07:34 - mcmc.system | INFO: Optimized structure has surface energy = -26.689\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time taken = 14.325 seconds\n"
     ]
    },
    {
     "data": {
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Pnq3evXtbnH/16lWFhYVp27ZtKlasmA4dOqTy5ctnHu/Xr59++OEHlS5dWtu3b7cKDV9++WVNnDhRHh4eOnLkiAICAux/wuwQGxurwMBASVJMTEyujw8AQEGWYTa0ePcp/XfVIR1LuJZlXYfaZfVqx2DVqWh7phgAAAAAAEBBkVe5QZ4sdWgYhkM+8sr48ePl4uKiQ4cOqW3btlqxYoUSEhK0fft2de/eXQsWLJAkjR492ir0qlWrlmrVqqX+/ftb7C9RooQGDRokSZoyZYpGjRql/fv3Kz4+XmvWrFH79u01f/58SdLYsWMtQi9Jeu+991S6dGlJ0oABA/Tuu+/qr7/+Unx8vBYtWqRWrVpp27ZtkqQJEyZYhF6S9NFHH8nb21vnz59X27ZtNW/ePMXHx2v//v0aPHiwJk6cKEkaNmwYoRQAAA7m6mLSIw39tfLVEI15vL78SxSxWbdq/zk9MPEPvThruw6fs54hBgAAAAAAcK/Lkxlfeb3EofT3jK+MjIw8G3/GjBkaPHhwlrPKhg8frnHjxtnsS5JCQ0MVGRlpcSwpKUndunVTVFSUzTFdXV31wQcf6I033rB5fMuWLXrkkUd0+vRpm8fd3d01duxYvfzyyzaPL1++XD169FBSUpLN4z179tSPP/4oF5fcz0OZ8QUAgP1S082auzVGk9cc0tkrKTZrXEzSo4389Ur7YFUqXdTBHQIAAAAAANydvMoN8iT4KlmypF566aXcGjZL7777bp6Ov2fPHo0dO1YRERE6e/asihUrpiZNmuiFF17Qo48+avOc7IIv6e/7n3311Vf6/vvvtXfvXqWkpKhixYpq166dXn75ZTVo0CDbni5cuKDJkyfrt99+08GDB5Weni5/f3916NBBL730kurUqZPt+SdOnNAnn3yi5cuXKy4uTp6enmrQoIGeffZZDRgwIM+WqiT4AgAg55LTMvTDxhP6IvKILlxLtVnj5mJSzyaBeqlddVXMYqYYAAAAAABAflOggq9q1arp4MGDuTUsCgGCLwAA7ty1lHTN2HBc06KO6Eqy7dnoHq4u6tO8kl4Ir6ayPl4O7hAAAAAAACBnCtQ9vgAAAJB7vD3d9GJ4da17vZ1ealdd3h6uVjWpGWbN2HBcoWMi9cnSA7qYxQwxAAAAAACAwozgCwAAoIDwLeKuEZ1qau2ocA0JqSpPN+tf5a6nZWhq1BG1HROh8SsP6kpymhM6BQAAAAAAcA6CLwAAgAKmdDFPvdWtttaNCtfTLYPk7mp9j86rKemasPqQQsZE6MvII0pKtb1EIgAAAAAAQGFC8AUAAFBAlS3upfceqauI18L0ZNNAubpYB2CXktL06bIDChkToel/HFNyWoYTOgUAAAAAAHAMgi8AAIACLqBkUX3yWH2tGh6qRxtWlMk6/1LC1VS9v3ifwsZGatamE0rLMDu+UQAAAAAAgDxG8AUAAFBIVCnjrf8+2UjLXwlR17rlbdacuZKst+fvVftxUZq3LVYZZsPBXQIAAAAAAOQdgi8AAIBCJricj758qrEWDW2j8Jp+NmtOXkjSiJ93qdP4KC3efUpmAjAAAAAAAFAIuOXmYCEhITKZTPL398/NYQEAAHAH6gX46ttnmmnbiQsat+KgNhw5b1VzJP6ahs7eodoVjmhEx2C1r11WJltrJQIAAAAAABQAJsMw+PNe5LnY2FgFBgZKkmJiYhQQEODkjgAAuPdsOJygz1ZEa/vJS1nWNAgsodc6BatN9TIEYAAAAAAAIM/kVW7AUocAAAD3iFbVy2je86307TNNVde/uM2aXTGX1O9/m9Xrq43afOyCgzsEAAAAAAC4OwRfAAAA9xCTyaTwmmW1aGgbTX3qftUoW8xm3eZjF/TEtD/Vf/pm7Yq55NgmAQAAAAAA7lCu3uMLAAAABYPJZFKXuhXU8b7yWrz7lMavPKjj55Os6tYejNfag/HqeF85De8YrNoVbM8UAwAAAAAAyA+Y8QUAAHAPc3Ux6ZGG/lo5PFSfPlZP/iWK2Kxbue+suk5Yp6Gzt+tI/FUHdwkAAAAAAGAfgi8AAADI3dVFvZpW0prXQvX+I3Xk5+Nps27x7tPq+HmUXvt5l2IuWM8QAwAAAAAAcCaCLwAAAGTydHNV/5aVtXZkuN7uVlulvD2sasyG9Mu2WIV/Fqm35+/R6cvXndApAAAAAACANYIvAAAAWCni4arBIVW1dlS4RnQMlo+X9a1h082GZm06qdCxkfrP4n1KuJrihE4BAAAAAAD+QfAFAACALBXzdNNL7Wvoj1HtNDS8uop6uFrVpKab9b8/jqntpxEas+yALiWlOqFTAAAAAAAAgi8AAADYwbeou17rXFPrRoVrcNsq8nSz/jXyelqGvog8orafRmji6kNKTE5zQqcAAAAAAOBeRvAFAAAAu5Uu5qm3H7hPUSPD1a9FkNxdTVY1iSnp+nzlQYWMidC0qCO6nprhhE4BAAAAAMC9iOALAAAAOVbe10v/ebSu1owI0xNNAuTqYh2AXUxK08dLD6jtmAjNWH9MKekEYAAAAAAAIG/ly+DrzJkz2rJli/bs2aNLly45ux0AAABkIbBUUY15vIFWvhqihxtUlMk6/1LC1RSNXrRP4WMjNWfzSaVlmB3fKAAAAAAAuCfkq+Dru+++U7169eTv768WLVqoYcOGKl26tJo3b65p06bJbOZNEgAAgPyoql8xTezdSEtfbqvOdcrZrDl1OVlv/rpHHT6P0rxtscowGw7uEgAAAAAAFHYmwzDy7B2HZcuWac6cOdq9e7fMZrOqVq2qRx99VL1795aHh0dmXUpKivr06aMFCxZIkmy1ZDKZVL9+ff3yyy+qVq1aXrWMPBIbG6vAwEBJUkxMjAICApzcEQAAyEu7Yy/p85UHFRkdn2VNVT9vvdIhWA/WqyAXG0slAgAAAACAwiuvcoM8Cb7Onz+vnj17KioqStI/QZbp/699ExQUpN9++0316tWTJD377LOaMWOGRc2t59zYDgwM1J9//qmKFSvmdtvIQwRfAADcm7Yev6DPVkRr49ELWdbULOejVzvWUOc65TN/9wMAAAAAAIVbgQm+Tp06pbZt2+r48eMyDMMiuLr5cx8fH23YsEGXL19WmzZtLI7VrFlTtWrVkqurq6Kjo/XXX3/JZDJljtGzZ0/9+OOPudk28hjBFwAA9y7DMLThyHl9tiJaO05eyrKuTsXierVDsNrXLksABgAAAABAIVdggq8ePXpowYIFmUGVJFWuXFnlypXT2bNndfz48b8vbDKpcePGqlKlin7++WeZTCZVqVJF3377rdq2bWsx5o4dOzRw4EDt3Lkz89wjR46ocuXKudk68hDBFwAAMAxDEdHn9PnKg9obdyXLugaBJTS8Y7BCapQhAAMAAAAAoJDKq9zAJVdG+f82bNiQGXpJUteuXbVv3z4dPXpUf/75p44ePapdu3apVatWMgxD27Zt0y+//CJJKlOmjDZs2GAVeklSo0aNFBERoerVq2fu+/nnn3OzdQAAAOQxk8mkdrXKadHQNprWr7FqlfexWbcr5pKenr5ZT0z7UxuOJDi4SwAAAAAAUJDlavB1cxjVrl07LVmyRLVq1bKoqVevnlasWJEZYt1YvvD1119X2bJlsxzb19dX77zzTub2pk2bcrN1AAAAOIjJZFLnOuX1+7C2mtynkar5edus23L8ovp8vUm9v9qorcezvkcYAAAAAADADbkafN0cRv373//Osq5o0aIaMWKEbl5lsXv37rcd/+GHH86cTbZv37676BQAAADO5uJi0oP1K2rFq6Ea36uBKpcuarPuz6Pn9fjUP9V/+mbtjLnk2CYBAAAAAECBkqvB183372rWrFm2teHh4Zmfe3p6qkqVKrcdv0SJEvLz85NhGEpIYNkbAACAwsDVxaTujQK0anioxjxWXwEli9isW3swXo9OWa+BM7Zob9xlB3cJAAAAAAAKglwNvi5duiTp74DK09Mz21p/f39Jf4dkpUuXtvsaxYoVkyQlJibeWZMAAADIl9xcXfRE00CtGRGmD7vXVQVfL5t1qw+c04OT/tBz329T9Bl+JwQAAAAAAP/I1eArOTlZJpNJPj62b1R+s6JF/1nKxsvL9psattxY6jA1NTXnDQIAACDf83BzUd/mQYp4LUyjH7pPfj62/6Bq2V9n1GXCWr00Z4eOxF91cJcAAAAAACA/ytXg6wZ3d/fb1twIsG79HAAAAJAkL3dXDWhdRWtHhuvtbrVVytvDqsYwpEW7Tqnj51Ea/tNOnTh/zQmdAgAAAACA/CJPgi8AAAAgtxTxcNXgkKpaNypco7rUlG8R6z+yMhvSr9vj1G5clF7/ZbdiLyY5oVMAAAAAAOBsBF8AAAAoELw93fRCWHX98Xq4Xu0QLB9PN6uaDLOhuVtjFP5ZpN5ZsEdnLic7oVMAAAAAAOAsBF8AAAAoUHy83PVyhxr64/V2GhpeXd4erlY1aRmGfth4UiFjI/Teor90LpEADAAAAACAewHBFwAAAAok36Lueq1zTa17vZ3+FVJVXu7Wv9qmppv17frjChkToY9/36/zV1Oc0CkAAAAAAHAUgi8AAAAUaKW8PfRmt9paOypcz7auIg83619xk9PMmrb2qELGRGjs8gO6lJTqhE4BAAAAAEBeMxmGYeTWYC4uLjKZTHJzc5O/v/9t648fP56jekmKi4tTWlqaTCaTMjIy7rZlOEhsbKwCAwMlSTExMQoICHByRwAAoLA6czlZUyIO68ctJ5WWYftXXR9PNw1sW0XPtqmi4l7uDu4QAAAAAADkVW6QJ8GXJNkz7I1ae+tvnGMYBsFXAUPwBQAAHC32YpImrzmsn7fFKsNs+3dN3yLuGhJSVQNaVZa3p5uDOwQAAAAA4N6VV7lBnix1aG+IZRhG5kdujw0AAIB7W0DJovrksfpaMyJUPe73l4vJuuby9TSNXR6ttmMi9NXaI7qeyh9WAQAAAABQkOXqn7WGhIRYzOICAAAAnC2otLc+f6KhXgirrgmrD2nx7lO69W+pLlxL1Ue/H9DX647phbBq6t2skrzcXZ3TMAAAAAAAuGO5utQhkBWWOgQAAPlF9JlEjV95UMv+OpNlTQVfL70YXl1PNAmUh1ueLJIAAAAAAMA9rUAtdQgAAADkVzXL+2hqv8Za/FIbdahd1mbN6cvJemfBXoV/Fqm5W04qLcPs4C4BAAAAAMCdKLDBV0YG918AAADAnavr76tvnm6qBS+2Vkiwn82auEvX9fq8PerweZR+3R6rDDOLJQAAAAAAkJ85LPi6ePFiro21efNm3X///bk2HgAAAO5dDQNLaOazzfTLcy3VsmppmzUnzidp+E+71Gl8lBbtOiUzARgAAAAAAPmSw4Kvdu3a6cKFC3c1xvXr1zV8+HC1bt1ae/fuzaXOAAAAAKlJ5VKaM6SFZg9uriZBJW3WHIm/ppfm7FC3ieu0bO8ZcbtcAAAAAADyF4cFX7t27VK7du2UkJBwR+evXLlSderU0YQJE1jmEAAAAHmmVbUy+vm5lpr5bDM1CCxhs+bAmUQ998M2PTjpD63ef5YADAAAAACAfMKh9/jas2eP2rVrp/j4eLvPuXjxogYMGKAuXbro+PHjedccAAAA8P+ZTCaFBPtpwQut9L+nm6hOxeI26/46dUUDv9uq7l9s0NqD8QRgAAAAAAA4mUODL0nau3evwsPDde7cudvWzp07V7Vr19b3338vwzBkMplkGIbKli2rmTNnOqBbAAAA3MtMJpPa1y6nxS+10dSn7lfNcj4263bGXFL/6Zv1xLQ/9eeR8w7uEgAAAAAA3OCw4Oudd97JDK/27dun8PBwnT171mZtXFycHnroIfXp08cqIBs8eLAOHDigvn37OqJtAAAAQCaTSV3qVtDSl9tqYu9GqurnbbNuy/GL6v31RvX5eqO2Hr+7+9sCAAAAAICcc1jw9f7772vs2LGZ4df+/fsV9v/Yu/O4Ksv8/+Pv+7BvgoIYCqIsLrmnpbkBWmlWmpllmU6LLVpZaWo1U2NN30rLNjWzxbKpTGdMW0wzBVzLfcFcAVHABXEBRJHt/v3hD0bjoKhws/h6Ph7nMeec+3Nf9+d2+oNz3ue6rshIHTp06Ly6jz76SC1atNAvv/xy3iyvli1bauXKlZo+fbp8fHysahsAAAAoZrMZ6tumvhY/213v3tNGwb7udutWJxzV3R//rqEz1mpz8glrmwQAAAAA4CpmmBZvRPDJJ59oxIgRMk1TpmkqPDxcMTExysrK0rBhw7R69erzAi93d3e98sorGjVqlBwdHa1sFeUoJSVFQUFBkqTk5GQFBgZWckcAAABXLq+gUN9vTNGHS+OVeuJ0qXU3NffXczc3UYv63hZ2BwAAAABA1VVRuYHlwZckffvtt3rwwQdVUFAgSQoICNDRo0eVm5t7XujVp08fTZ06VcHBwVa3iHJG8AUAAGqy3PxCzV6frKnR8TqUmVNq3a0tr9FzNzdRk1L2CgMAAAAA4GpRUbmBZUsdnuv+++/Xf/7zHzk7O0uSDhw4oDNnzqgogwsICNCcOXP0888/E3oBAACgynN2tGlIp2DFjonUK7dfKz9PF7t1C7cdUq/3l2vkrE1KOHLS4i4BAAAAAKj5KiX4kqR+/frpp59+kru7uwzDkHR20/B77rlHO3bs0N13311ZrQEAAACXxdXJQQ93bawVY6P0Up9mquPhXKLGNKUftxzQze8u06g5m7XvaHYldAoAAAAAQM1UacGXJN1000369ddf5eXlVby84apVq5SWllaZbQEAAABXxM3ZQY91D9XysVEa06upvN2cStQUmtL3G1PVY9IyvTB3q1KOn6qETgEAAAAAqFkqNfiSpM6dOys2Nla+vr4yDEOpqamKiopSQkJCZbcGAAAAXBFPF0c9GRWmFeOi9EzPcHm5OJaoKSg09d26ZEW9E6uX52/ToYzS9wgDAAAAAAAXZphFG2uVg5CQkMs+9/jx48rIyCh+7eXlJV9f31LrDcMgHKtGKmqTOgAAgOrkxKlcfbI8UV+uTtKp3AK7Nc6ONj3QMVhPRIbI38vV4g4BAAAAALBGReUG5Rp82Wy24iULL7mR/7/PV5HSxiga3zAMFRTY/7IAVQ/BFwAAwP8cPXlG05cn6qvfk5STV2i3xtXJpqE3NtLj3UPk6+licYcAAAAAAFSsisoNyn2pw8vN0UzTPO9R3uMDAAAAVYWvp4te6tNcy8dE6cHOjeTsUPLP8py8Qn2yPFHdJsZowqKdOp6dWwmdAgAAAABQvZTcZOAK/POf/yzP4QAAAIAazb+Wq8b3baHHI0I0JTpec9YnK6/g/B96ncot0LTYBH21OkkPdWmsYd0ay8fduZI6BgAAAACgaivXpQ6B0rDUIQAAwMUlHzulydF7NHdjqgoK7f+Z7uXiqIe6NtYjXRvL283J4g4BAAAAACgf1WapQwAAAACXJ6iOuybe3UZLR0VowHWBshkla7LO5OvDpXvUdUK0PliyR5k5edY3CgAAAABAFUXwBQAAAFQxjfw8NOmeNloyKkL92zWQYS8Ay8nXe0t2q9uEGE2J3qOTZ/KtbxQAAAAAgCqmXIOvXbt2ledwV6Qq9QIAAABcjpC6nnrv3rb67bnuuqNNfbsBWMbpPL2zeLe6TYjWR7HxyiYAAwAAAABcxco1+GrdurVGjx6tjIyM8hz2kpw8eVJjxoxR27ZtK60HAAAAoDyF+Xtp8n3t9Ouz3XVbqwC7NcdP5Wniol3qNjFG05cl6FQuARgAAAAA4OpTrsFXXl6e3n//fYWGhuqDDz5Qbm5ueQ5/QTk5OXrnnXcUEhKid99919JrAwAAAFZoUs9LUwdfp4XPdFPvFtfYrTmWnas3F+5U94kx+mxFok7nFljcJQAAAAAAladcg6+vv/5atWrV0rFjxzRq1CiFhYXp/fff14kTJ8rzMuc5ePCgXnnlFQUHB2vcuHFKT0+Xm5ubZsyYUWHXBAAAACpT84Ba+nhIey0Y2VU3X1vPbk36yVy9vmCHur8doxkr9yonjwAMAAAAAFDzGaZpmuU54L59+/S3v/1Ny5cvl/H/NyFwcXHR3XffrcGDBysqKkrOzs5XdI2srCz9/PPP+uabb/Tbb78pPz9fRbfRsWNHffHFF2rWrNkV3wvKT0pKioKCgiRJycnJCgwMrOSOAAAAao64lAy9v2S3lu5MK7WmXi0XPRkVpnuvD5KLo4OF3QEAAAAAUFJF5QblHnwVmTlzpsaNG6e0tLMfvotCMDc3N0VFRalz585q2bKlWrVqpUaNGpU6jmmaSk5O1ubNm7VhwwbFxMRozZo1ys/PLz4uSXXq1NFrr72m4cOHF18LVQfBFwAAQMXbnHxC7y/ZrdhdR0qtCfB21ZNRYbqnQ5CcHct1AQgAAAAAAMqs2gVfkpSZmam3335bkydPVmZm5v8u+pdgysXFRT4+PvL29latWrXk4OCgU6dOKSMjQwcOHCgOuYqc27Knp6eefvppjRs3TrVq1aqoW8EVIvgCAACwzsb9x/Xeb7u1Yk96qTUNfNz0VI8w3d0+UE4OBGAAAAAAAGtVy+CryPHjxzV16lR99tln2r9//4UbOicUO7c1wzDOex0UFKQnn3xSjz/+uLy9vcu/aZQrgi8AAADrrU86pveW7Naq+KOl1gTVcdPTUeHqf10DAjAAAAAAgGWqdfBVxDRN/frrr5o7d65+/vlnHT58+JLODw4O1i233KL77rtPkZGRFdMkKgTBFwAAQOVZk3hU7/62W2v2Hiu1JtjXXU/3CNedbevLkQAMAAAAAFDBakTw9VcJCQlat26ddu/eraSkJB07dkynTp2SYRjy9PRU7dq1FRISoqZNm6p9+/YX3AsMVRvBFwAAQOVbnZCu937brXVJx0utaeznoZE9w9S3TQM52Ng7FwAAAABQMWpk8IWrB8EXAABA1WCaplbFH9W7v+3Sxv0nSq0LreuhZ25qottaBRCAAQAAAADKXUXlBqxhAgAAAFxFDMNQ13A/zR3eWTMfvkFtgnzs1iUcydbIWZvU+/3lWrD1oAoL+b0cAAAAAKDqI/gCAAAArkKGYSiiSV3NH9FZXzx4vVo18LZbtyftpJ78dqP6fLhCi7YRgAEAAAAAqjaCLwAAAOAqZhiGopr568enuuizoR3Uon4tu3U7D2Xpia836rbJK7X4z0NixXQAAAAAQFVE8AUAAABAhmHopmvr6eenu2r6kPZqdo2X3bodBzP12L836I4pK7V0x2ECMAAAAABAlULwdQFxcXEaMmSIAgMD5ezsrICAAN1xxx1atGjRFY0bGxuru+++WwEBAXJ2dla9evXUv39/LV68+KLnZmVl6Z133lGXLl1Uu3bt4vNvvfVWzZo1S4WFhaWeO3HiRBmGcdHH888/f0X3BwAAgOrLMAz1anGNfhnZTdMGX6cm9Tzt1m1LzdQjM9frzqmrFLMrjQAMAAAAAFAlGCafUO364YcfNHDgQOXl5dk9/vTTT+vDDz+8pDELCwv1zDPPaMqUKaXWPP7445o6daocHBxKHNuxY4duu+027d27t9Tze/Xqpe+//17u7u4ljg0aNEizZ8++aJ+jR4/WO++8c9G6S5GSkqKgoCBJUnJysgIDA8t1fAAAAFSMwkJTC+IO6oOlexSfdrLUunYNffTcTU3ULdxPhmFY2CEAAAAAoDqqqNyAGV92bNy4UYMGDVJeXp6uv/56xcbGKj09XevWrVO/fv0kSZMnT9bUqVMvadzx48cXh17NmjXTvHnzlJaWpvj4eI0fP16Ojo6aPn26HnvssRLnZmdn69Zbb9XevXvl5uamN998U7t379bhw4e1fPly9e3bV5L066+/6uGHHy71viTp73//u7Kyskp9vPHGG5d0XwAAAKi5bDZDd7Spr1+f7a4PBrVViJ+H3bpN+09o6Iy1Gvjx71oVn84MMAAAAABApWDGlx19+vTRwoULFRoaqs2bN8vT83/Lu5imqQEDBmjevHmqU6eO9u7dq1q17G8Afq79+/crLCxMeXl5atmypVauXClvb+/zambPnq1BgwZJOrscYkRERPGxiRMnaty4cZKkxYsX6+abby5xjZEjR2ry5MmSpHXr1qlDhw7FxzIzM+Xj4yPTNLVgwQL16dPnEv5FrhwzvgAAAGqG/IJC/bjlgD5cukdJR0+VWndD4zoadXMTdQrxtbA7AAAAAEB1wYwvi+zYsUMLFy6UJL344ovnhV7S2T0P3n33XRmGoWPHjmnu3LllGve7774rXjZx2rRpJUIvSbr33nvVvXt3SdKECRPOO/bf//5XkhQZGWk39JKkV199tXiJxAULFpx3bNOmTcW/uj03EAMAAAAuhaODTXddF6gloyL09t2t1bBOySW2JWnt3mMa9Mkfuu+TP7R27zGLuwQAAAAAXK0Ivv6iKPQyDEN33HGH3ZpGjRqpdevWks7uBVYWGzZskCTVq1dPXbt2LbWuV69ekqSlS5cqNze3+P2jR4/KZrOpY8eOpZ5bu3Zt1alTR5J04MCB844VLXMYHBwsf3//MvUMAAAAlMbRwaaBHYK0dHSEJgxopcDabnbrfk88qnum/64HPlujDfsIwAAAAAAAFYvg6y82b94sSQoMDLxgQNSuXTtJ/wu0Lub48eOSzgZPF1K3bl1JUm5urnbu3Fn8fkJCgs6cOaNXXnnlgtc4evSopLMh2LmK+uzQoYPmzJmj3r17q06dOnJxcVFoaKieeuop7d+/v0z3AgAAABRxcrDp3usbKnp0pN7o30r1vV3t1q2MT9eAab9r6Iy12rT/uMVdAgAAAACuFo6V3UBVs2/fPklnZ3VdSFGAlZqaqry8PDk5OV2wvmjJxKysrAvWFQVkRWMXzSyTJEdHRzk6lv5/2SeffKLCwkJJUpcuXc47VjTj66effiqxPGNiYqKmTp2qL774QrNmzVLfvn0v2KM9KSkpFzx+8ODBSx4TAAAA1Yezo033d2yoAe0baM76FE2NjtehzJwSdct3H9Hy3UfUo5m/nrupiVoFllwCHAAAAACAy8WMr79IT0+XVHLG1F8V7dFlmqYyMjIuOm7Lli0lSbt27VJqamqpdbGxscXPMzMzLzpukd27d+v111+XJIWEhKh3797Fx7Kzs7Vr1y5JZ2eSDRo0SKtWrdKRI0e0a9cuvfXWW/L09NSpU6c0cOBArVmzpszXLRIUFHTBxw033HDJYwIAAKD6cXF00JBOwYodE6nxd1wrfy8Xu3XRO9N0x5SVGjZzvbalXvzvaQAAAAAAyqJKBF9bt27V/PnzNWPGDE2ePPm8Yzt37pRpmpb1kpNz9lepbm729ygocu7x06dPX3TcgQMHyjAMFRYW6plnnimemXWuJUuWaNGiRcWvz93j60IOHTqk22+/XSdPnpRhGJoyZcp5M9D279+v4OBgOTo66o033tCsWbPUuXNn+fn5qUmTJho3bpx+++03OTs7Kzc3V0899VSZrgsAAACUxtXJQQ92aazlY6P08u3Xys/TfgC2ZMdh3T55pR7/93rtOFj2H34BAAAAAGBPpQVf27dv10MPPaTatWurXbt2GjBggB599FE9++yz59Xde++9ql+/viZNmlTmIOhKODg4SJIMw7hg3blhnM128X/GVq1a6aGHHpIkzZ07V7169dKyZct07NgxJSYmauLEierbt6/q169ffI6zs/NFx01JSVGPHj20Z88eSdL48eN16623nlfTvHlzJSYmKicnRy+++KLdcTp16qTHHntMkrR+/Xpt3br1otc+V3Jy8gUfa9euvaTxAAAAUDO4Ojnoka6NtWJslP7ep7l8Pez/jfvrn4d16wcrNOKbDdp16MLLgwMAAAAAUBrL9/gyTVOvvPKK3nzzTZmmWWI2118Dp6SkJGVlZWns2LH65ptvNG/evOL9tSpC0V5cF5vFVTQzTJJcXe1v4P1XU6dOVXp6un788UctWbJES5YsOe9406ZN9dFHH6lnz57n9VKaP//8U3369NH+/fslSc8995xeeeWVUuuLQr3S9OvXT1OmTJEkrVmz5rz9xS4mMDCwzLUAAAC4+rg5O+jR7iEa3Kmhvvp9n6YvS9DxU3kl6n6JO6SF2w7ptlYBevamcIX5e1VCtwAAAACA6sryGV8PPPCA3njjDRUWFl50CcPjx48rKytLhmHINE1t3rxZPXr00KFDhyqsv6K9uy62b9eJEycknZ3tdbH9wIq4urpq/vz5+vrrrxUREaFatWrJw8NDbdq00VtvvaWNGzeeF3YFBASUOtavv/6qzp07F4deL7/8st59990y9VGahg0bFj8/cuTIFY0FAAAA2OPu7KgnIkK1YlwPjenVVD7uTiVqTFP6eetB3fzecj3z3SYlHDlZCZ0CAAAAAKojS4Ovt99+W7NmzSp+HRoaqv/7v/9TdHS0goKCStS7u7trwoQJqlevnqSzs8GSkpL0+OOPV1iPTZo0kaTiQKk0RceDgoLKtNRhEcMwNHjwYMXGxiojI0MnT57U5s2bNW7cOLm7u2vLli3FdeHh4XbH+PTTT3X77bcrMzNTDg4O+vjjj/Xaa69d9NoXCxrPXUrSw8OjzPcEAAAAXCpPF0c9GRWmFWOjNPrmJqrlWnIxCtOUfth8QDe/u0yjZm9WUnp2JXQKAAAAAKhOLAu+jhw5on/961/Frx988EFt375dL774oiIjI+3uZ+Xi4qIxY8Zo9+7duuuuu4qXRvz555+1Zs2aCumzaHm/pKSk4lld9mzcuFGS1LZt2zKPbZqmjh49esGaxYsXS5JatGghL6+Sy7q88cYbeuyxx5Sfny9PT0/98MMPFw0Cx44dq2uuuUbe3t4X3Cdt+/btxc+LAkAAAACgInm5OunpnuFa+UIPPXtTuLzsBGCFpvT9plT1fHeZnv/PFu0/eqoSOgUAAAAAVAeWBV8zZ87UyZMnZRiGOnfurM8//1xOTiWXNbHH09NTc+bMUbdu3Yrf+/e//10hffbp00eSVFhYqAULFtitSUxMVFxcnCSpd+/eZRp36dKlcnFxkZ+fn3bu3Gm35tChQ8XX7N+/f4njH374of7+979Lkvz9/RUbG6vbbrvtotf29fXV4cOHlZWVpdjY2FLrvvnmG0ln/727du160XEBAACA8lLL1UnP3tREK8f20MgeYfJ0KRmAFRSa+u+GFPWYFKtx/92q5GMEYAAAAACA81kWfC1atKj4+auvvirDMC7pfJvNpjfeeKP49erVq8utt3M1bty4OPR59dVXS+z1ZZqmRo8eLdM05efnpyFDhpRp3Pbt2xcviTh16tQSxwsLCzVixAidPn1aHh4eGj58+HnH16xZo9GjR0uS6tatqxUrVqh9+/Zluva9994rR8ezXxw8//zzdmd9zZo1Sz/++KMk6YknnrA72wwAAACoaN7uThp1S1OtGBulJ6NC5e7sUKImv9DU7PXJinonVi9+H6fUE6croVMAAAAAQFVkWfC1a9cuSWeXL4yMjLysMbp06SJPT0+Zpql9+/aVY3fne++992Sz2bRnzx5169ZNixcvVnp6ujZu3Kj+/ftr/vz5kqTx48eX2AurWbNmatasmYYOHXre+z4+Pho2bJiks8HX2LFjtWPHDh05ckTR0dHq2bOn5s2bJ+nsXmgBAQHnnf/UU08pPz9fhmHo008/Vf369XXy5MlSH2fOnCk+t1GjRnr++eclSXFxcerUqZMWLVqkw4cPa+fOnXrhhReK+23evLnGjx9fbv+WAAAAwOWo7eGsMb2aaeW4HnoiIlRuTvYDsFlr9yvy7Rj9fR4BGAAAAABAMkzTNK24kJubm3JzcxUUFKSkpKQSx8PDw5WQkCDDMFRQUFDqOI0bN9a+ffvk5OR0XrhT3r788ks9+uijys/Pt3t81KhRmjRpUon3i2ayRURElFhW8NSpU+rTp4+WLVtmd0wHBwe9/vrreuGFF857f9WqVZe89ODf/vY3ffnll8WvCwsLNXz4cH3yySelntO2bVstWLBA9evXv6RrlUVKSoqCgoIkScnJyQoMDCz3awAAAKDmSj95Rp8sT9RXvycpJ6/Qbo2Tg6F7rw/SiMgw1fdxs7hDAAAAAMClqKjcwLIZX+7u7jJNU9nZ2Vc0Tnp6uiTJ29u7PNoq1YMPPqiNGzdqyJAhCgwMlJOTk2rXrq2bb75Z8+bNsxt6XYy7u7uWLFmiqVOnqlOnTvL09JSTk5OCg4P10EMPacOGDSVCL0n6448/rvh+bDabpk+friVLlmjAgAGqX7++nJyc5Ovrq+7du2vatGlat25dhYReAAAAwJXy83TRS32aa/nYKD3StbFcHEt+lMkrMPX1H/sV8XaM/jE/TgeYAQYAAAAAVx3LZny1bNlS27dvl2EYSkxMVHBw8HnHyzLja82aNbrxxhtlGIZatmypLVu2WNE6ygEzvgAAAFCe0jJz9FFsgr5du1+5+fZngDk72HTv9UEaHhnKDDAAAAAAqGKq/Yyv7t27Fz+fPn36ZY3x2muvFT/v0qXLFfcEAAAAoHryr+Wq8X1baMXYKD3YuZGc7cwAyy0o1L//2KfIt2P18vxtOpjBDDAAAAAAqOksC74GDBggSTJNU++++65+//33Szr/5Zdf1sKFC4tf9+vXr1z7AwAAAFD91Pv/AdjyMRcPwCImxuqVHwjAAAAAAKAmsyz46tmzp7p16ybDMJSbm6tbbrlFn3/+uQoL7S9LUuTPP/9Uv3799MYbb0iSDMNQ+/bt1atXLyvaBgAAAFANXONdtgDsq98JwAAAAACgJrNsjy9J2rVrlzp37qwTJ07INE0ZhiE/Pz916dJF0dHRyszMlGEYmjBhgpKSkrRy5UrFxcVJOjtTTJLc3d21YsUKtWvXzqq2UQ7Y4wsAAABWOpSRo2mx8Zq1Nlm5BaXvAXbfDUEaHhmma7xdLe4QAAAAAK5uFZUbWBp8SdLKlSvVv39/HT16VIZhFAdg0v/CLXuvTdOUm5ubZs2apb59+1rZMsoBwRcAAAAqw8GM05oWm6DvCMAAAAAAoEqpqNzAsqUOi3Tt2lWbN29Wr169ioOtcwOuotCr6HXR8fbt22vNmjWEXgAAAADKLMDbTa/1a6llYyM19MZgOTvYXwJx5u/71P3tGI3/8U8dysiphE4BAAAAAOXB8hlf54qLi9NXX32lFStWaMuWLTpz5kzxMZvNpvDwcHXr1k2DBg1Sjx49KqtNlANmfAEAAKAqOHDi7Ayw2esuMAPM0ab7b2io4ZGhqleLGWAAAAAAUBFqzFKHF5Kdna2MjAy5ubnJx8fnvNlfqN4IvgAAAFCVEIABAAAAQOWq9ksdfvfdd7r22mv14osvavXq1XZrPDw8VL9+fdWuXZvQCwAAAECFqe/jpn/d2VKxYyL1QKeGcnIo+fkjN79QX65OUreJZ5dAPJzJEogAAAAAUNVZNuOrX79++umnn4oDrTFjxuitt96y4tKoApjxBQAAgKos9cRpTYuN1+x1ycorsP8RycXRpvs7NtTwiFD5MwMMAAAAAK5ItZ/xtWXLFhmGoaKc7b777rPq0gAAAABwQQ183PT6na0UOyZKgzvanwF2Jr9QX6w6OwPstZ+2K40ZYAAAAABQ5VgWfB05cuS8102bNrXq0gAAAABQJg183PR//S8egM1YtZcADAAAAACqIMuCrxYtWpz3OiUlxapLAwAAAMAlKQrAYp6P1P1lCMD+9fN2pWURgAEAAABAZbMs+PrnP/8pScV7fE2YMMGqSwMAAADAZQms7a43/n8Adt8NDeVosx+Afb5yr7pNIAADAAAAgMpmWfB122236euvv5aXl5dM09SMGTM0bNgwJScnW9UCAAAAAFyWwNruevOusgVg3SfG6HUCMAAAAACoFIZpmqYVF9q9e7ck6cCBAxo/fryWL19ePPsrLCxMHTp0kL+/v7y9vWWzlS2Pe+WVVyqsX5SvlJQUBQUFSZKSk5MVGBhYyR0BAAAAly/52Cl9FBuv/6xPUX6h/Y9Urk42PdAxWI9HhKqul4vFHQIAAABA1VZRuYFlwZfNZisOuoqce+m/HiuLgoKCK+4L1iD4AgAAQE1U1gBsSKdgPdadAAwAAAAAilRUbmDZUodFTNMsDrwMwyh+FL1f1gcAAAAAVLagOu56867Wink+UoOuD7K7BGJOXqE+XbFX3SZG6/8WbNeRrDOV0CkAAAAAXB0sm/HVqFGjy5rVdSF79+4t1/FQcZjxBQAAgKtB8rFTmhoTr/9uuPAMsKE3NtJj3UPk58kMMAAAAABXp2q/1CGubgRfAAAAuJrsP/r/A7CNKSooJQBzc3LQkBuDCcAAAAAAXJVqzFKHAAAAAFDTNfR114S7WytmdKTu7RAkBztLIJ7OK9AnyxPVbUKM3vxlh9JPsgQiAAAAAFwpgi8AAAAAqCDnBmD3dAgsNQCbTgAGAAAAAOWC4AsAAAAAKlhDX3dNvLuNYkZHamD7MgRgC3foKAEYAAAAAFwygi8AAAAAsEhDX3e9PbCNokdHXDgAW5aorgRgAAAAAHDJDNM07e+0XM5CQkLKdTzDMJSQkFCuY6LiVNQmdQAAAEB1lpSerSkx8Zq3KVUFhfY/mrk7O2jojY30aLfG8vV0sbhDAAAAAKgYFZUbWBZ82Ww2GYahK71c0RiGYaigoKCcukNFI/gCAAAASncpAdhj3UNUx8PZ4g4BAAAAoHxVVG5g6VKHlxN6GYZR/LjcMQAAAACgKmvk56F3BrbR0lERGnBdoOysgKhTuQX6eFmCuk6I1oRFO3UsO9f6RgEAAACgirNsxterr75a5tqCggJlZ2crJSVF69atU1JSkiSpVq1amjlzplq2bClJCg0NrYhWUQGY8QUAAACU3d70bE2Jjte8TSkqZQKY3J0d9LfOjfRoN2aAAQAAAKh+qv1Sh1diwYIFevLJJ7V//37Vrl1bsbGxatWqVWW3hUtA8AUAAABcur3p2ZocvUfzN6WWGoB5/P8AbBgBGAAAAIBq5KoOviRpz5496tixo06cOKGWLVtq/fr1cnbmQ111QfAFAAAAXL5LCcAe7Rai2gRgAAAAAKq4GrHH15UIDw/XSy+9JEn6888/NXv27EruCAAAAACs0djPQ+/e01ZLRkXornYN7O4Blp1boI9iz+4B9vavO3WcPcAAAAAAXIWqTfAlSQ8//HDx82+//bYSOwEAAAAA64XU9dS79148AJsak6BuE2P0zq+7dOIUARgAAACAq0e1Cr7q1KmjunXryjRNbd++vbLbAQAAAIBKURSA/TYqQv1LCcBOnsnXlJh4dZ1AAAYAAADg6lGtgi9JysvLkySlpaVVcicAAAAAULlC63rqvXvbavFzEbqzbf2LBmAsgQgAAACgpqtWwdeePXt04sQJGYYhHx+fym4HAAAAAKqEMH9PvT+oXXEAZpQSgE2NObsH2IRFO3WMAAwAAABADVStgq8XX3yx+HmzZs0qsRMAAAAAqHqKArDfnotQv1ICsOzcAk2LPRuAvblwh46ePGN9owAAAABQQap88GWaptasWaO+fftq3rx5xe/369evErsCAAAAgKorzN9THwxqp9+e666+bewHYKdyCzR9WaK6TojRG7/s0JEsAjAAAAAA1Z9hmqZpxYVCQkIuqb6wsFA5OTk6fvy48vPzJZ0NwSTJ399fe/bskZeXV7n3iYqRkpKioKAgSVJycrICAwMruSMAAADg6hGfdlJTovfoxy0HVFjKJ0BXJ5sGdwzW4xEh8vdytbZBAAAAAFedisoNLAu+bDabDMPQ5V6u6FwnJyfNnTtXt99+ezl3iIpE8AUAAABUvsQjJzUlJl7zN6WWGoC5ONp0f8eGGh4RKv9aBGAAAAAAKkZF5QaWLnV4JRmbaZq6/vrrtWTJEkIvAAAAALgMIXU99e49bRU9OlJ3tw+Ug63kGohn8gv1xaokdZ0Yo/E//qlDGTmV0CkAAAAAXB7LZny9+uqrl3yOg4OD3N3dFRAQoM6dOys4OLgCOoMVmPEFAAAAVD37jmZraky85m5MVUEpU8CcHW0adH2QhkeGKsDbzeIOAQAAANRU1X6pQ1zdCL4AAACAqiv52ClNjYnXfzekKL+0AMzBpnuuD9SIyDDV9yEAAwAAAHBlasRShwAAAACAqieojrveGtBaMc9H6r4bGsrJoeQSiLkFhfr6j/2KeDtGL82LU8rxU5XQKQAAAABcmGUzvpYvXy5JcnNz0/XXX3/Z43z//ffatGmT8vLy9NZbb5VXe6hgzPgCAAAAqo+U46c0LTZBc9YnK6/A/kdGJwdDd7c/OwMsqI67xR0CAAAAqO6q/VKHNptNhmEoLCxMu3btuuxxAgIClJaWpnr16unAgQPl2CEqEsEXAAAAUP0cOHFa02ITNHtdsnILCu3WONoMDbguUE9GhamhLwEYAAAAgLKpEUsdmqapK83ZnJ2dZZqmjh49Wk5dAQAAAADsqe/jpn/d2VLLxkbqbzcGy9mx5EfI/EJTs9cnK2pSrMb8Z4v2Hc2uhE4BAAAA4CxLgy/DKLlO/KVYtWqVUlJSJEnu7vySEAAAAACsEODtplf7tdTyMVF6sHMjudgJwAoKTf1nQ4p6TFqm0XO2KCmdAAwAAACA9RzLa6C8vDwNGjRIx48fv2BdamqqevToccnjZ2VlKS4uTqZpyjAMNWrU6DI7BQAAAABcjmu8XTW+bwuNiAzVx8sS9c2afTqTf/4SiAWFpuZuTNG8TSm6s20DPdUjTCF1PSupYwAAAABXm3ILvpycnNSrVy898cQTpc7sMk1TOTk5WrZs2WVdoyj0kqR77rnnsnsFAAAAAFw+/1queuWOa/VEZIg+WZaor9fsU07e+QFYoSl9vylV8zenqm+b+nqqR7jC/AnAAAAAAFQsw7zSTbf+4sYbb9SaNWvKc8gSevbsqV9++UVOTk4Veh2Un4rapA4AAABA5TuSdUafrkjUv3/fp9N5BXZrDEO6o3V9jewZpjB/L4s7BAAAAFDVVFRuUO7B17Zt2zRp0qQS78+cOVOGYcjLy0v9+/cve4OGIZvNJnd3d/n7++u6665Tnz59yrNlWIDgCwAAAKj50k/+LwA7lVt6AHZbqwCN7BmuJvUIwAAAAICrVbUJvkpjs9lkGIZCQ0O1e/duKy6JKoTgCwAAALh6HMvO1acrEvXV6iRlXyAA69MyQE/3DFOza2pZ3CEAAACAylZRuYGtXEYpI4syNgAAAABAJarj4axxvZtp5bgeejIqVJ4uJbeXNk1pQdxB9X5/hYZ/vUE7DmZWQqcAAAAAapqSnz4qyN69eyWJfbkAAAAA4CpR28NZY3o106PdQvT5yr36clWSss7kl6hbuO2QFm47pF4t6mlkz3C1qO9dCd0CAAAAqAksW+oQVzeWOgQAAACQcSpPM1bt1YxVe5WVUzIAK3LztfX0TM9wtWxAAAYAAADUVDViqcPykp+fr6+//rqy2wAAAAAAXAJvdyc9d3MTrRzXQ8/eFK5arvYXIflt+2HdPnmlhs1cp7iUDIu7BAAAAFCdVcqMr9OnT2vJkiVKSEjQyZMnlZ+fr8LCwhJ1pmmqsLBQeXl5ysnJUVZWlpKTk7V27VplZ2eroMD+JsmoepjxBQAAAOCvMnPy9OWqJH2+cq8yTueVWtejmb+e6RmuNkE+1jUHAAAAoEJVVG5g2R5fRSZMmKDXX39dp06duuwxTNOUYRjl2BUAAAAAwGq1XJ00sme4HurSSDNXJ+mzlXt14lTJACx6Z5qid6YpsmldPdMzXO0a1q6EbgEAAABUB5Yudfj666/rpZdeUnZ2tv460cw0zeLHX517jC3JAAAAAKBm8XJ10lM9wrVyXA+N6dVUtd2d7NbF7jqi/h+t1tAZa7Vh33GLuwQAAABQHVi21OHBgwcVEhKi3NxcSSoRYBXN4LLXzrmzu8LDw3Xvvfeqb9++at++fQV2jPLEUocAAAAAyir7TL6++n2fPl2RqGPZuaXWdQv30zM9w9WhUR0LuwMAAABQHioqN7BsxtdXX32lM2fOFL8ePny4/vzzT+Xk5OjgwYPF7z/zzDMqLCzU6dOnFR8frxkzZigkJKR4ttehQ4c0dOhQQi8AAAAAqKE8XBw1PDJUK8ZG6cVbm8nXw9lu3Yo96br74981+LM/tHbvMYu7BAAAAFAVWTbjq3fv3lq8eLEMw9ADDzygmTNnnne8Xbt22rJli0JCQhQfH3/esezsbN1zzz1auHChDMNQRESEoqOjrWgb5YQZXwAAAAAu16ncfH27Zr8+Xpao9JNnSq27McRXz9wUrk4hvhZ2BwAAAOByVPsZX7t27Sp+PmrUqBLHb7jhBknS3r17lZKSct4xDw8PffvttwoODpZpmlq2bJmWLVtWsQ0DAAAAAKoEd2dHDesWohVjo/Ty7deqrpeL3brfE49q0Cd/6N7pv2t1Qjp7RAMAAABXIcuCr+PHz2487O7urjZt2pQ43qpVq+Ln69atK3Hc29tbzz77bPHruXPnln+TAAAAAIAqy83ZQY90bawVY6P0zzuulX8pAdiavcd0/6drdO/0P7QqngAMAAAAuJpYFnydPn1ahmHIz8/P7vFmzZoVP4+Li7Nbc9999xU/37RpU/k2CAAAAACoFlydHPRQl8ZaPjZKr/ZtoWtqudqtW5t0TIM/W6OBH/+uFXuOEIABAAAAVwHLgq/atWvLNE0VFBTYPR4SElL8fOfOnXZr/P395enpKdM0lZCQUCF9AgAAAACqB1cnB/2tcyPFjonUv/q1UIC3/QBs/b7jGvL5Wg2YtlrLdhOAAQAAADWZZcFX0UyvtLQ0FRYWljjesGFDOTg4SCo9+JLOLnkoSRkZGRXQJQAAAACgunF1ctCQG88GYK/f2VL1SwnANu4/ob/NWKv+H61WzK40AjAAAACgBrIs+OrQoYMkKS8vTytXrixx3NHRUY0aNZJpmtq+fbvOnDlToiY/P18HDx6UJLvhGQAAAADg6uXi6KAHOgUrdkyU3ujfSg183OzWbU4+oYe+WKc7p65S9M7DBGAAAABADWJZ8BUVFVX8/O9//7vy8vJK1LRp00bS2XDsl19+KXF84cKFxYFXnTp1KqhTAAAAAEB15uxo0/0dGyrm+Ui9dVcrBda2H4BtScnQw1+uV7+pq7RkOwEYAAAAUBNYFnwNGDCgOKxavXq1OnXqpEWLFp03c+uWW24pfj569Gjt37+/+PWhQ4f0/PPPS5IMw1Dbtm2taRwAAAAAUC05O9o06IazAdjEAa3VsI673bqtKRka9tV63T55pX798xABGAAAAFCNWRZ8eXp6aty4ccUfIDZt2qTbbrtNY8eOLa655557VKtWLUlSUlKSmjdvrn79+mnAgAFq2rSp4uPji2v79+9vVesAAAAAgGrMycGme64P0tLREXr77tYK9rUfgP15IFOP/3uD+ny4Ur/EHVRhIQEYAAAAUN1YFnxJ0pgxYzR06NDzfj0XHBxc/NzHx0fjx4+XaZoyDEOnT5/Wzz//rPnz5ysrK6u4rkmTJhoyZIiVrQMAAAAAqjknB5sGdgjS0lERmjSwjRr7edit23EwUyO+2ajeHyzXD5tTVUAABgAAAFQblgZfkvTll19q5syZCg4OlmmaCg0NPe/4s88+q5EjR5ZYWsIwDJmmqQYNGmj+/PlycXGxsm0AAAAAQA3h6GDTgPaB+u257nrv3jYKqWs/ANt9+KSe+W6zbn5vmb7fmKL8gkK7dQAAAACqDsOsxMXLN27cqEaNGhXv/XWuxYsXa/LkyVq7dq0yMzPVsGFD9e/fX+PGjVPt2rUroVtciZSUFAUFBUmSkpOTFRgYWMkdAQAAAMBZBYWmft56QJOj4xWfdrLUumBfdz0ZFab+7RrIycHy35ECAAAANUpF5QaWBV95eXkyDEOOjo5WXA5VDMEXAAAAgKqusNDUwm2HNDl6j3Yeyiq1LrC2m0ZEhmlA+wZycXSwsEMAAACg5qio3MCyn6h99dVX8vPz03333advv/1WJ06csOrSAAAAAABclM1m6LbWAfplZDdNH9JeLerXsluXcvy0XpoXp8i3Y/XV70nKySuwuFMAAAAApbEs+Jo9e7YyMzM1Z84cDRkyRJMmTbLq0gAAAAAAlJnNZqhXi2v089Nd9fnfOqhNkI/duoMZOXrlhz/VfWKMZqzcq9O5BGAAAABAZbMs+Nq+fbsMw1DRyooPPPCAVZcGAAAAAOCSGYahns3raf6Izpr58A1qH2x/v+m0rDN67eft6jYxWp8sT1D2mXyLOwUAAABQxLLgKyMj47zXwcHBVl0aAAAAAIDLZhiGIprU1X+fuFHfDuuojo3r2K1LP5mrN37ZqW4TY/RRbLxOEoABAAAAlrMs+LruuuvOe717926rLn3Z4uLiNGTIEAUGBsrZ2VkBAQG64447tGjRoisaNzY2VnfffbcCAgLk7OysevXqqX///lq8ePFFzzVNU1999ZUiIiLk7e0tNzc3hYeH69lnn1VycvJFz09KStLw4cMVEhIiFxcX1a1bVz179tSsWbOu6J4AAAAAoKYzDEOdw/w0+/Eb9d1jndQlzNdu3bHsXE1ctEtd3orWh0v3KON0nsWdAgAAAFcvwyxae7CCrV69Wj169FBe3tk/+O+44w7NmzdPhmFYcflL9sMPP2jgwIHF/f7V008/rQ8//PCSxiwsLNQzzzyjKVOmlFrz+OOPa+rUqXJwcLB7/uDBg/Xdd9/ZPdfb21vz5s1TVFSU3eNr1qzRzTffrKysLLvH77rrLs2ePVuOjo5luJtLk5KSoqCgIElScnKyAgMDy/0aAAAAAGC1DfuO6cOl8Vq2+0ipNV6ujnqocyM93LWxfNydLewOAAAAqLoqKjewbMZX586dtXjxYjVs2FCmaeqnn37SrbfeqlWrVqmgoGptALxx40YNGjRIeXl5uv766xUbG6v09HStW7dO/fr1kyRNnjxZU6dOvaRxx48fXxx6NWvWTPPmzVNaWpri4+M1fvx4OTo6avr06Xrsscfsnv/iiy8Wh16jRo3Srl27dPjwYc2ZM0eBgYHKyMjQXXfdpZSUlBLnJicn67bbblNWVpbCw8P1888/68iRI4qLi9OwYcMkSd9//71efPHFS7onAAAAALiatQ+uo5kP36D5T3bRTc397dZk5eTrw+h4dXkrWhMX7dSx7FyLuwQAAACuHpbN+Cpaxi87O1sffPCBli9fXjzby83NTW3atJG/v7+8vb1ls108jzMMQ59//nmF9NqnTx8tXLhQoaGh2rx5szw9PYuPmaapAQMGaN68eapTp4727t2rWrVqXXTM/fv3KywsTHl5eWrZsqVWrlwpb2/v82pmz56tQYMGSTq7HGJERETxsZSUFIWGhio3N1fjxo3TW2+9dd65SUlJuu6663T8+HENGzZMn3766XnHR4wYoWnTpsnHx0fbt29XQEDAecefe+45vf/++3JyctKuXbvUuHHjsv1jlREzvgAAAABcDbalZmhy9B79+ufhUmvcnR30QKdgPdotRHW9XCzsDgAAAKg6Kio3sCz4stlsdpc1LLr8pSx5aJqmDMOokJliO3bs0LXXXitJ+uyzz/TII4+UqElKSlJISIhM09SMGTP00EMPXXTciRMnaty4cZKkFStWqGvXrnbrIiIitHz5ct1666365Zdfit8fN26cJk6cKA8PDx04cMBu2Pbqq69q/Pjxcnd3V1pamjw8PCRJx48fV0BAgM6cOaN//OMf+te//lXi3KysLAUGBiozM1OvvPKKXn311Yve06Ug+AIAAABwNdl5KFOTo+P1S9xBlfap29XJpvtvCNbjESGqV8vV2gYBAACASlbtlzqUzgZWf31c6Fhpj4q0cOFCSWeDuDvuuMNuTaNGjdS6dWtJZ/cCK4sNGzZIkurVq1dq6CVJvXr1kiQtXbpUubn/W/6iqK+IiIhSZ5gVLcN46tQp/fbbb8Xvx8TE6MyZM5Kkvn372j3Xy8ureG+wst4TAAAAAMC+ZtfU0tT7r9PiZ7urX9v6stn5rWdOXqFmrNqrbhNj9MoP23TgxGnrGwUAAABqGEerLtS9e/dLmtVVWTZv3ixJCgwMlL+//fXZJaldu3basmVLcaB1McePH5ckBQcHX7Cubt26kqTc3Fzt3LlTrVu3Vm5urnbs2CFJat++fanntmrVSo6OjsrPz9eGDRt05513nndPNptNbdu2veA9/fDDD9q2bZtyc3Pl7MymywAAAABwJcLreemDQe30TM9wTY1J0PzNqSooPP8Hnbn5hfrq932atXa/BnYI0vCIUAXVca+kjgEAAIDqzbLgKzY21qpLXZF9+/ZJOjur60KKAqzU1FTl5eXJycnpgvVF+4RlZWVdsK4oICsau3Xr1kpNTVV+fv5F+3JwcFCDBg20b98+JSUlFb9fdE8NGjS4YJ9F91RQUKDk5GSFhoZesFcAAAAAQNmE1PXUpHva6Jme4fooNl7/3ZCi/L8EYHkFpr5ds19z1iXrrusaaERkmBr5eVRSxwAAAED1ZFnwVV2kp6dLkmrXrn3BOm9vb0lnl2jMyMiQn5/fBetbtmypefPmadeuXUpNTVWDBg3s1p0bEGZmZp7X06X0dW6Adqn39NfzyyIlJeWCxw8ePHhJ4wEAAABATdTQ111vDWitp3qEaVpsguasT1ZewfkBWH6hqTnrU/TfDSm6s20DPdkjTKF1PSupYwAAAKB6sXSPr+ogJydHkuTm5nbBunOPnz598XXYBw4cKMMwVFhYqGeeeUaFhYUlapYsWaJFixYVvy7a46uop0vp69yeKuqezhUUFHTBxw033HBJ4wEAAABATRZY213/17+Vlo+N0oOdG8nZseTH80JT+n5Tqm56d5lGztqk3YcvvIIIAAAAgCoWfBUUFFx0KcCK5uDgIEkX3Y/MNP/3izyb7eL/jK1atdJDDz0kSZo7d6569eqlZcuW6dixY0pMTNTEiRPVt29f1a9fv/icoj22inq6lL7O7ami7gkAAAAAcGUCvN00vm8LrRwbpUe6NparU8nPYqYp/bjlgHq9v1wjvtmg7QcyK6FTAAAAoHqo1KUOly1bpu+//14rVqxQYmKisrKyZBhG8X5WkjRo0CAFBwdr5MiRpS4PWJ6K9uK62Iync2dhubq6lmnsqVOnKj09XT/++KOWLFmiJUuWnHe8adOm+uijj9SzZ8/zein630vp69yeKvKeiiQnJ1/w+MGDB5n1BQAAAACl8K/lqpdvv1bDI0P16YpE/fv3fTqVW3BejWlKv8Qd0i9xh3TztfU0ske4WgV6lzIiAAAAcHWqlOBr27ZteuSRR7R+/fri986dbXSuFStW6D//+Y8mT56sf/7znxo3blyF9la0z1VGRsYF606cOCHp7Myoi+2dVcTV1VXz58/Xt99+q08//VSbNm1SQUGBwsLCdN999+npp5/Wtm3biusDAgLO6+lS+jp3z7FLvae/nl8WgYGBl1QPAAAAACjJz9NFL97aXI93D9XnKxM1c/U+nTyTX6Lut+2H9dv2w+rRzF9P9whTu4Zl+1wKAAAA1HSWB1/z5s3TkCFDdPr06fPCLsMwSoRfubm5OnTokKSzs5Feeukl7dq1SzNmzKiw/po0aaLY2Fjt37//gnVFx4OCgi5pWUDDMDR48GANHjzY7vEtW7YU14WHhxdfw83NTadPn75gXwUFBUpNTZUkBQcHn3dPkpSamqrCwsJS+y0a29HR8bwlFwEAAAAA1qrj4awxvZrpsW6hmrFqr2as2qusnJIBWPTONEXvTFO3cD890zNcHRrVqYRuAQAAgKrD0o2c1q5dq8GDB+vUqVPFIVd4eLiGDh163qymItnZ2WrevLlM0ywOxmbOnKlJkyZVWI+tW7eWJCUlJZ03A+qvNm7cKElq27Ztmcc2TVNHjx69YM3ixYslSS1atJCXl5eks7PKWrRoIUnatGlTqedu3bpVBQUFJfoquqe8vLzzZpT9VdE9tWjRQk5OThe5GwAAAABARfN2d9JzNzfRqhd66PlbmsjH3f5ntRV70nX3x7/r/k//0B+JF/7cCQAAANRklgVfpmlq2LBhysnJkWEYCg4O1pIlS7Rr1y59+eWX8vX1LXFO7dq1tW3bNs2ePVu+vr7F4dcrr7yiI0eOVEifffr0kSQVFhZqwYIFdmsSExMVFxcnSerdu3eZxl26dKlcXFzk5+ennTt32q05dOhQ8TX79+9vt6+YmBhlZ2fbPf+HH36QJLm4uCgyMrL4/cjISLm7u0uSfvrpJ7vnZmZmKiYm5pLuCQAAAABgjVquTnqqR7hWjuuhcb2bydfD2W7d6oSjGvTJH7rn49+1ck96qdsKAAAAADWVZcHX3LlztW3bNhmGIV9fX8XExKhHjx5lOnfgwIFatWqV6tQ5u2RDTk6Ovvjiiwrps3Hjxuratask6dVXXy2xL5Zpmho9erRM05Sfn5+GDBlSpnHbt29fvMTg1KlTSxwvLCzUiBEjdPr0aXl4eGj48OHnHR88eLAcHBx04sQJvfrqqyXO37t3rz744ANJ0sMPPywfH5/iYx4eHrrrrrskSe+9957d5RJffvllZWVlydnZWU899VSZ7gkAAAAAYC1PF0cNjwzVinFR+sdtzeXn6WK3bm3SMT3w+RoNmLZaMbvSCMAAAABw1bAs+Prxxx+Ln7/yyitq1KjRJZ0fHh6uN954o/j1kiVLyqu1Et577z3ZbDbt2bNH3bp10+LFi5Wenq6NGzeqf//+mj9/viRp/Pjx8vDwOO/cZs2aqVmzZho6dOh57/v4+GjYsGGSzgZfY8eO1Y4dO3TkyBFFR0erZ8+emjdvniTp7bffVkBAwHnnN2nSRE8++WTx8SeeeKL4/P/+97/q3r27Tpw4oTp16uiFF14ocU9vvPGGPDw8dPToUXXr1k1z587VkSNHtGPHDj366KP68MMPJUkjR45UYGDglf8jAgAAAAAqjLuzo4Z1C9HKcVH65x3Xql4t+wHYxv0n9NAX69Rv6iot2X6YAAwAAAA1nmFa9FdvkyZNFB8fLwcHBx0+fLh49laR8PBwJSQkyDCM4n2q/io7O1s+Pj4qLCxUvXr1dODAgQrr98svv9Sjjz6q/PySmwdL0qhRo+zuNWYYhiQpIiJCsbGx5x07deqU+vTpo2XLltkd08HBQa+//rrd4Eo6O9Pt7rvvLnUJRg8PD/3222+68cYb7R7/9ddfddddd+nUqVN2jw8cOFDfffdd8cy08pSSkqKgoCBJUnJyMuEaAAAAAJSjnLwC/WdDiqbFxOtARk6pddcG1NLInmG65dprZLMZFnYIAAAAnK+icgPLZnwdPnxYkuTn51ci9CorDw8P1a9fX6Zp6vjx4+XZXgkPPvigNm7cqCFDhigwMFBOTk6qXbu2br75Zs2bN89u6HUx7u7uWrJkiaZOnapOnTrJ09NTTk5OCg4O1kMPPaQNGzaUGnpJkqurq3766SfNnDlTERER8vHxKT7/scce09atW0sNvSSpV69e2r59u5544gk1btxYzs7O8vLyUteuXTVjxgzNnj27QkIvAAAAAEDFcnVy0JBOwYodE6W37mqloDpuduu2H8zUE19v1K0frNBPWw6ooJAZYAAAAKhZLJvx5eHhoZycHNWvX1/Jyckljpdlxpck1atXT0eOHJGnp6cyMzMrsmWUI2Z8AQAAAIB18goKNX9TqqbGxCvpqP1VPyQptK6Hnu4RrttbB8jRgR9CAgAAwDrVfsZXvXr1ZJqmDh8+rOzs7Msa48CBA0pPT5dhGKpbt245dwgAAAAAQM3g5GDTwA5BWjIqQu/f21ahdT3s1iUcydazszfr5veW678bUpRXUGhxpwAAAED5siz4atmypSSpoKBAP/3002WN8dlnnxVvxNuqVaty6w0AAAAAgJrI0cGmO9s10OLnIjT5vnZqWs/Lbt3e9Gw9/58t6jEpVt+t3a/cfAIwAAAAVE+WBV+33XZb8fOXX35ZJ0+evKTz161bpwkTJhS/7tWrV7n1BgAAAABATeZgM3RHm/pa+Ew3ffzAdWoeUMtuXfKx03rh+zhFvROrf/+xT2fyS9+KAAAAAKiKLAu+Bg8eLH9/f0lSYmKibr/9dqWnp5fp3O+//169e/dWTk6OJKl27dp64IEHKqxXAAAAAABqIpvNUO+WAfplZFd9OrSDWgd6261LPXFaL8/fpoiJsfpy1V7l5BGAAQAAoHqwLPjy9PTUhAkTipcqXLFihZo0aaLRo0frxx9/LA61JOno0aNav3693n//fd1www0aOHCgjh8/LtM0ZRiGXnnlFXl52V+eAQAAAAAAXJhhGLr52nr64cku+uKh69WuoY/dukOZORr/03Z1mxijz1Yk6lRuvrWNAgAAAJfIMIuSKIuMHTtW77zzjgzDKA6yihS1Utp7pmlq6NCh+vLLL61sGeUgJSVFQUFBkqTk5GQFBgZWckcAAAAAgCKmaWpV/FF9sHS31iUdL7XO18NZw7qFaMiNwfJ0cbSwQwAAANQ0FZUbWDbjq8jEiRM1ZcoUubi4FL93brhVFHDZC8H+8Y9/6IsvvrC2YQAAAAAAajjDMNQ13E9zHr9Rsx7tpBtDfO3WHc3O1YRFO9V1QrQ+XLpHGafzLO4UAAAAuDDLZ3wV2b9/v95//319/fXXF9zry93dXXfddZfGjBmjVq1aWdghyhMzvgAAAACgelmXdEwfLt2jFXtK/8zu5eKov3VupIe7NlYdD2cLuwMAAEB1V1G5QaUFX+fauXOnNm/erKNHjyojI0Nubm7y9fVV06ZN1b59ezk6snxCdUfwBQAAAADV06b9xzU5Ol7RO9NKrXF3dtADnYI1rFtj+Xu5WtgdAAAAqqsaHXyh5iP4AgAAAIDqLS4lQx9G79Fv2w+XWuPiaNN9NzTU4xEhCvB2s7A7AAAAVDc1Zo8vAAAAAABQ/bQK9NanQzto4TPddFvrAJ2zJXexM/mF+nJ1krpPjNGL38cp+dgp6xsFAADAVa3S1xDMz8/X+vXrtWPHDqWlpenMmTPy8PBQYGCgWrVqpWuvvbayWwQAAAAAAP9f84Bamnr/dYpPy9JHMQn6YcsBFRSev5hMXoGpWWv3a876ZN3ZtoFGRIUqtK5nJXUMAACAq0mlLXW4du1affDBB/rxxx916lTpvwC75pprNGTIED3zzDMKCAiwsEOUJ5Y6BAAAAICaad/RbE2LTdDcjSnKK7D/FYNhSLe3rq+nosLU9BovizsEAABAVVRj9vg6efKknnjiCc2aNUuSVHR5w84aCecec3V11euvv67nnnvOumZRbgi+AAAAAKBmSz1xWtOXJei7dcnKzS8sta5Xi3p6KipcrQK9LewOAAAAVU2NCL6ysrLUo0cPbdy4UaZpyjAMleXyRXWGYejRRx/Vxx9/bEG3KE8EXwAAAABwdUjLzNEnyxP1zZr9Op1XUGpdVNO6eqpHuNoH17awOwAAAFQVFZUb2MpllDJ6/PHHtWHDhuLXLi4uGjp0qObOnav4+HhlZmYqPz9fx48f144dOzRr1izdc889cnJyKg6/Pv30U02ZMsXKtgEAAAAAQBn513LVP26/VivHRWlEZKg8XexvLx6z64gGTFutwZ/9od8Tjpbph7EAAADAxVg242vNmjW68cYbi5c0bN++vWbNmqXQ0NCLnrtjxw4NGjRIcXFxkiQvLy8lJibK19e3QntG+WHGFwAAAABcnTJO5enL1UmasWqvMk7nlVp3faPaeqpHuLqH+9ndDgEAAAA1S7Wf8fX5558XP2/atKmWLl1aptBLkpo3b67o6Gg1btxY0tl9wj777LMK6RMAAAAAAJQfb3cnPXNTuFaOi9LY3k1Vx8PZbt26pOP624y1unPqKv22/TAzwAAAAHBZLAu+VqxYUfz8vffek5eX1yWd7+vrq4kTJxa//umnn8qtNwAAAAAAULG8XJ00IjJMK8dF6eXbr5W/l4vdui0pGXr0q/W69YMVWrD1oAoKCcAAAABQdpYtdejp6alTp07Jw8NDmZmZl7VsQX5+vmrVqqWcnBx5e3vr+PHjFdApKgJLHQIAAAAAzpWTV6D/bEjRx7EJSj1xutS60LoeeqpHmO5oXV+ODpZuVQ4AAIAKVO2XOrTZbDIMQ7Vr177stbodHR1Vt25dSdKZM2fKsz0AAAAAAGAhVycHDekUrJjnIzVxQGsF+7rbrUs4kq3nZm9Rz3eXafa6/crNL7S4UwAAAFQnlgVfQUFBMk1Thw8fVnZ29mWNUVBQoPT0dBmGoQYNGpRzhwAAAAAAwGrOjjbdc32Qlo6K0Pv3tlWYv6fdun1HT2nc3DhFvROrf/+epJy8Aos7BQAAQHVgWfDVu3dvSWeXK/zyyy8va4yFCxfq9Omzyx/07NmzvFoDAAAAAACVzNHBpjvbNdDiZ7vro8HXqXlALbt1qSdO6+Uf/lT3iTH6bEWiTuXmW9wpAAAAqjLL9vhKTExU69atdfr0aXl5eWnlypVq2bJlmc/PyMhQx44dtXv3bjk6OmrDhg1q1apVBXaM8sQeXwAAAACAS2GappbuSNPk6D3akpJRal0dD2c90rWxht4YLC9XJws7BAAAwJWo9nt8hYSEaPr06ZKkzMxMRUVFaf78+WU6Nz4+XjfddJN2794twzD08ssvE3oBAAAAAFCDGYahm66tp/lPdtFXD9+g6xvVtlt3LDtXb/+6S13eitZ7v+1Wxqk8izsFAABAVWLZjK9jx45JkubPn68RI0YoNzdXhmGobdu2GjRokG644QYFBQXJy8tLOTk5Onr0qLZu3apffvlFP/zwg3JzcyVJLVq00PPPP1+maw4dOrTC7geXhhlfAAAAAIAr9UfiUU2JjtfK+PRSazxdHDXkxmAN69pYvp4uFnYHAACAS1FRuYFlwZfNZpNhGOe9V3Tpv77/V2Wt+6uCAja6rSoIvgAAAAAA5WXDvuOaGhOv6J1ppda4Otk0uGOwHu8eIv9arhZ2BwAAgLKo9ksd2mMYxnlhlmma5z1Kq7sYi7I8AAAAAABQCdoH19aMB6/Xz093Ve8W19ityckr1Ocr96rrxBi9PH+bUk+ctrhLAAAAVAZLg6+/BlulBV1lrS/rOAAAAAAAoOZp2cBbHw9pr1+f7a6+berLZuc3s7n5hfr3H/sUMTFG4/67VUnp2dY3CgAAAMtYttQhrm4sdQgAAAAAqGiJR07qo9gEzduUqoJC+1932AypX9sGejIqVGH+XhZ3CAAAgCI1cqlDAAAAAACA8hJS11PvDGyj2OcjdX/HhnJyKDkFrNCU5m1K1c3vLdeT32zU9gOZldApAAAAKgrBFwAAAAAAqFGC6rjrjf6ttHxslB7s3EgujiW//jBNaUHcQfX5cIWGzVyvLcknrG8UAAAA5Y7gCwAAAAAA1EgB3m4a37eFVo7roce7h8jd2cFu3ZIdh9Vv6ioNnbFW65KOWdwlAAAAyhPBFwAAAAAAqNHqernoxT7NtWpcDz3dI0xeLo5265bvPqKBH/+ue6f/rlXx6WJbdAAAgOrH8uDr5MmT+vDDD9WrVy/Vr19fbm5ucnBwuOSHo6P9P1IBAAAAAADsqe3hrNG3NNXKF3po9M1N5OPuZLduzd5jGvzZGt01bbVidqYRgAEAAFQjhmnhX2+bNm3SnXfeqZSUFEm6oj8cDcNQQUFBebWGCpaSkqKgoCBJUnJysgIDAyu5IwAAAADA1S77TL6+/mOfPl2RqPSTuaXWtWxQS09FheuWa+vJZjMs7BAAAKDmqqjcwLLg69ixY2rZsqUOHTp09sKGQfB1FSH4AgAAAABUVTl5Bfpu7X59vCxRhzJzSq1rWs9LT/YI022tAuRAAAYAAHBFKio3sGy9wA8//FCHDh0qDrzq1q2rgQMHKjw8XF5eXrLZ2G4MAAAAAABYz9XJQQ92aaz7OjbU3A2p+ig2XinHT5eo23U4SyNnbdL7v+3WiKgw9WtbX04OfJ8BAABQlVg24+v666/Xhg0bZBiGOnbsqMWLF8vT09OKS6MKYMYXAAAAAKC6yCso1A+bD+ijmHglpmeXWhdY203DI0N1d/tAuTg6WNghAABA9VftlzqsXbu2MjIyZBiGNm/erFatWllxWVQRBF8AAAAAgOqmoNDUgriDmhK9R7sPnyy1LsDbVY93D9GgGxrK1YkADAAAoCwqKjewbD7+mTNnJEl16tQh9AIAAAAAAFWeg81Q3zb1teiZ7vr4gfZqUb+W3bqDGTka/9N2dZ0Qo+nLEpR9Jt/iTgEAAFDEsuCrKKlzcnKy6pIAAAAAAABXzGYz1LvlNfr56a764sHr1a6hj9269JNn9ObCneoyIVqTl+5RZk6etY0CAADAuuCrS5cukqS0tDSlpaVZdVkAAAAAAIByYRiGopr56/vhnfXNsI7q2LiO3boTp/I06bfd6vJmtN75dZeOZeda3CkAAMDVy7Lg69FHH5UkmaapqVOnWnVZAAAAAACAcmUYhrqE+Wn24zdqzuM3qnuTunbrss7ka0pMvLq8Fa1//bxdhzNzLO4UAADg6mNZ8NW5c2cNGzZMpmnqrbfe0g8//GDVpQEAAAAAACrEDY3r6KuHb9D8J7vopub17NaczivQ5yv3qtuEGL00L07Jx05Z3CUAAMDVwzBN07TqYjk5Obrrrru0aNEi2Ww23XvvvRo8eLCuu+46+fn5ydHR0apWYLGUlBQFBQVJkpKTk4v3fAMAAAAAoCb580CGpsbEa+G2QyrtGxcHm6F+betrRGSYwvw9rW0QAACgiqio3MDS4EuSMjMzdd111ykxMVGGYVz2OIZhKD8/vxw7Q0Ui+AIAAAAAXE3i07L0UWyCfth8QAWF9r96MQypT8sAjYgKVYv63hZ3CAAAULkqKjewbKlDSVq/fr2aN2+uvXv3Fodepmle9gMAAAAAAKAqCvP30rv3tFXs85Ea3LGhnB1KfgVjmtKCuIO67cOVevjLddqw73gldAoAAFCzWDbjKy0tTa1bt1ZaWtp5odflMgxDBQUF5dUeKhgzvgAAAAAAV7NDGTn6dEWivl2zX6fzSv8+48YQXz3dI0w3hvpe0Uo5AAAAVV1F5QaWbar1ySefFIdepmnKz89Pd955p1q0aCFvb2/+mAMAAAAAADXWNd6uevn2azUiMlRfrErSzNVJyjpTcguH3xOP6vfEo2rX0EdPRYWpRzN/vjMBAAC4BJbN+OrQoYM2btwowzB0yy236L///a88PDysuDSqAGZ8AQAAAADwPxmn8/Tv35P0+cq9On4qr9S65gG19GRUqG5tGSAHGwEYAACoOSoqN7As+PL391d6eroMw1BSUlLxzeDqQPAFAAAAAEBJp3Lz9e2a/fpkeaLSss6UWhdS10MjIsPUr219OdnZLwwAAKC6qajcwLK/lLKzs2UYhgICAgi9AAAAAAAAJLk7O2pYtxAtHxul1+9sqcDabnbrEo9k6/n/bFHUO7H69x/7lHOBfcIAAACuZpYFX4GBgTJNU6dPn7bqkgAAAAAAANWCq5ODHugUrJjnIzVpYBuF1rW/PUTK8dN6ef42dZ8Yo89WJOpUbsl9wgAAAK5mlgVfHTt2lCSdOHFCe/futeqyAAAAAAAA1YaTg00D2gdq8XMRmnr/dWoeUMtuXVrWGb2+YIe6vBWtyUv3KON06fuEAQAAXE0sC76GDRtW/Pydd96x6rIAAAAAAADVjoPN0G2tA/TLyK6a8WAHXdfQx27d8VN5mvTbbnV9K1oTF+3U0ZOl7xMGAABwNbAs+Orevbvuv/9+maapjz/+WFOmTLHq0gAAAAAAANWSYRjq0aye5g7vrG8f7ajOob5267LO5Ouj2AR1mRCt137arkMZORZ3CgAAUDUYpmmaVl3s5MmT6tu3r2JjY2UYhjp27KjHHntMHTp0UFBQkLy8vGSzWZbFwUIpKSkKCgqSJCUnJyswMLCSOwIAAAAAoHrauP+4pkbHa+nOtFJrnP//konDI0LV0Nfdwu4AAADKpqJyA8uCr6FDh0qScnNzNXfuXBUUFMgwjMsezzAM5eezgWt1QfAFAAAAAED52n4gU1Nj4/VL3EGV9u2Og81Qvzb1NSIqVGH+XtY2CAAAcAHVPviy2Wx2g67LvbxhGCooKLjStmARgi8AAAAAACpGfNpJTYtN0PzNqSootP89i2FIvVtcoyejwtSygbfFHQIAAJRUUbmBpesKmqZZ4gEAAAAAAIDLF+bvqUn3tFHs85F6oFNDOTuW/LrHNKWF2w7p9skr9dAXa7Vh37FK6BQAAKDiOVp1oS+++MKqSwEAAAAAAFx1guq46/U7W2lkj3B9uiJRX/+xX6fzSq6WE7PriGJ2HVGnkDp6KipcXcJ8r2g7CgAAgKrEsqUOcXVjqUMAAAAAAKx1LDtXX6zaqy9XJykrp/R90tsE+ejpqDD1bO5PAAYAACxTI5Y6BAAAAAAAgDXqeDhr9C1NteqFHhrTq6nqeDjbrduSfELDvlqvWz9YoZ+2HCh1nzAAAIDqgOALAAAAAACgBqvl6qQno8K0clyUXr79WtWr5WK3buehLD09a5NufneZ5qxPVl5BocWdAgAAXLkqsdTh1q1blZiYqGPHjik7O1tPP/108bGdO3eqadOmTLWv5ljqEAAAAACAquFMfoHmbkjVtGXxSj52utS6Bj5ueiIiRAM7BMnVycHCDgEAwNWgonKDSgu+tm/frrffflvz589XZmbmeccKCv638WqbNm2Ulpam559/Xk8//bScne1Py0fVRvAFAAAAAEDVkl9QqJ+2HtDUmATFp50sta6ul4se7dZYgzsGy8PF0cIOAQBATVZjgi/TNPXKK6/ozTfflGma+uvlDcM4L/jy9vZWVlaWDMNQmzZtNG/ePAUHB1vZMsoBwRcAAAAAAFVTYaGpX/88pCkx8frzQGapdT7uTnqoc2M92LmRvN2dLOwQAADURDUm+Bo8eLC+++67EoFXcUPnBF/Hjx+Xr6+vDMMorm/cuLFWrVqla665xrKeceUIvgAAAAAAqNpM01Ts7iOaGh2v9fuOl1rn6eK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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mcmc = MCMC(**sampling_settings)\n",
    "\n",
    "start = perf_counter()\n",
    "results = mcmc.run(\n",
    "    surface=surface,\n",
    "    **sampling_settings,\n",
    ")\n",
    "stop = perf_counter()\n",
    "print(f\"Time taken = {stop - start:.3f} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xtuP1GQcCNBIguGSWcl3EV9V0AAAAAKhuzqrokpQc4zn/Gyy8jY1CaQAAAEBwIxkdqEJ5hUWau2aH7b4BHRoGaDSHLyIsRLERobb7mFQFAAAAgCNfWl1nMjqV0QGp9GR0FvEDAAAACBbO+CU81KUYx9xvMEmM9qzaXloMBgAAACCwSEYHqtDiv3Zrf16h7b4zj0kN0GgqJsmxAt3bCnoAAAAAwJElPcWejL5hd3aARgIEl6xSrotw3QQAAABAsHDGJ0kxEXK5XAEaTemiwkMVHW5PlifGAgAAAIIbyehAFfpy5TbbcefmyWqQEBWg0VRMcqx9BTqrzwEAAADgyOdMRl+fQTI6IJW+YxzXTQAAAAAEC2d8khzjWXk82DjHyO5TAAAAQHAjGR2oIgVFxZqzZoftvn7ta2ZVdElKinZWRifgBwAAAIAjXZojGX1Pdr6ycqhGBpSWbE7VPgAAAADBwqMyumPeNxglOnbtLm1BMAAAAIDAIhkdqCJL1u32mKDv36FhgEZTcUkeq88J+AEAAADgSNc0OUYhjp27N1AdHSh1UcbeHBbxAwAAAAgOHsnoVEYHAAAAUMlIRgeqyJcrt9uOj2uSqMZJ0QEaTcUls/ocAAAAAGqdiLAQNa0TY7tvPcnogDKz/SdCcN0EAAAAQLBw7uzknPcNRs4xUigNAAAACG4kowNVoKjYaM5qezJ6Ta6KLnmrjM7qcwAAAACoDdLqxtqOSUYHPJPNQx1bCHDdBAAAAECwcMYnNaEyeqJjjM6EegAAAADBhWR0oAr8uH6PdjsqZPVvnxqg0VSOJFafAwAAAECtlJ5iT0bfsJtkdCArx37dp5ljBwGumwAAAAAIFntz7PGJc943GCU7C6XlEGMBAAAAwYxkdKAKzFq1zXbcrmGCmjsqydU0zoCf1ecAAAAAUDuk1bUn2VIZHfCsjO78OyEZHQAAAECwcMYvznnfYJTsUSiNuWkAAAAgmJGMDlSy4mKjmau22+6r6VXRJc/t2phUBQAAAIDaIb1enO14fUa2jDEBGg0QHJyL9NMcOwiwiB8AAABAsHAmcjvnfYNRYrSjUFo2c9MAAABAMCMZHahkyzZlauf+PNt9/Ts0DNBoKo9zu7a9OUyqAgAAAEBtkO7Y6Wt/bqH2ZBMTonbLcizSb+FIRj+YX6S8wqLqHBIAAAAAeOUsMuac9w1GzsroWTkkowMAAADBjGR0oJJ9udJeFb11gzi1rB/no3XN4Qz4cwuKlVvApCoAAAAAHOkaJUUpPNRlu299RnaARgMEnjFGex2JEM7K6JJnwjoAAAAAVLeiYqN9ufbYxDnvG4ySYx2V0dl9CgAAAAhqJKMDlcgYo1mr7Mno/drX/KrokpQU7bldG0E/AAAAABz5wkJD1KxOjO0+ktFRm+3LLVRRsbHd17yOZzJ6JsnoAAAAAAIsK6dAxh6+KCnGc9432CRG2xPm2X0KAAAACG4kowOVaMXmLG3Zm2O7b0CH1ACNpnIlRIfLZS+E57GlGwAAAADgyJTuqPq8YTfJ6Ki9vFU8rxsXoYSoMNt9e1nEDwAAACDAvMUlNSEZPdnLGNl9CgAAAAheJKMDlWimoyp6ekqsjm4QH6DRVK7QEJcSo9kODQAAAABqo7S69mR0KqOjNnNeD4kIDVFMRKiSYyMc7UiUAAAAABBYzrgkJiJUkWGhARpN2TnnpSViLAAAACCYkYwOVBJjjGau2ma7r3/7VLmc5cRrsCRH0E9ldAAAAACoHdLrOZPRDwZoJEDgOZPRE2PC5XK5vFw3YRE/AAAAgMByxiXOuCVYhYWGKN6x+xSF0gAAAIDgRTI6UEnWbNunjbvtk/H92zcM0GiqRlKMvcIXyegAAAAAUDukOyqjb8jIljEmQKMBAisrx349pGT7eI/rJjlcNwEAAAAQWM75XGfcEsySmZsGAAAAagyS0YFKMmvVdttxk+RotW+cEKDRVI2SydUSrD4HAAAAgNohLcWejJ5TUKQd+/ICNBogsDKzHZUF/z9BgusmAAAAAIKNMy5Jjq0ZldElzxiL3acAAACA4EUyOlBJvly5zXbcv32qXC5XgEZTNTwroxPwAwAAAEBtkJoQpahw+2Wk9RnZARoNEFiZzsqC0T4qo2dTtQ8AAABAYHlURo+uOZXREx0xljMWAwAAABA8SEYHKsGfO/br7132Sfj+HRoGaDRVJ8lj9TkBPwAAAADUBiEhLqXVtVdH37CbZHTUTlk59ushJVvHe1w3yWERPwAAAIDAcsYlzrglmHlURifGAgAAAIIWyehAJfhy5XbbcWpClDo2SQrMYKpQMqvPAQAAAKDWciajUxkdtZVzm/uk/9/mnusmAAAAAIKNMy5xxi3BzDlWdp8CAAAAghfJ6EAlmLlqm+24X/tUhYS4AjSaquNZGZ3V5wAAAABQW6TXIxkdkDyTOUq2uee6CQAAAIBg44xLalJl9MRo+1idC4MBAAAABA+S0YEKWp+RrbXb99vu698+NUCjqVpJztXnOaw+BwAAAIDaIt1RGX0DyeiopbIcCRAlW8d7XDehMjoAAACAAHPGJc64JZglOxf8MjcNAAAABC2S0YEKclZFT4mLVOe0OgEaTdXyCPhZfQ4AAAAAtUZaij0ZfeOegyoqNgEaDRA4HpXR/z+Zw/O6SYGM4W8EAAAAQOA4k9GdcUswS451LvhlbhoAAAAIViSjAxU0c+V223G/9g0UGuIK0GiqVsm20yWYVAUAAACA2iPdkYyeX1isrXtzAjQaIHCcW8OXbHPvvG6SX1Ssg/lF1TYuAAAAAHDyFb/UBInR9rE6FwYDAAAACB4kowMVsGnPQa3ckmW7r3/7hgEaTdVzXpwoLDY6kFcYoNEAAAAAAKpTSlyE4iLDbPdt2J0doNEAgVFYVKz9ufZrIcn/Xxk9KdYzqYNt5AEAAAAESl5hkccC2ZKdnWqCZMdYsyiUBgAAAAQtktGBCpi1yl4VPTkmXF3T6wRoNFXPuRWa5Lm1GwAAAADgyORyuZSWEmO7b0MGyeioXbK8JJeXbHMfHxnmsVteZjbbyAMAAAAIjCwv87jOBO9g5hwru08BAAAAwYtkdKACZq7aZjs+o12qwkKP3D+r2IhQhTknVQ8yqQoAAAAAtUV6SpzteB3J6KhlvG0Ln/j/yegul0tJjm3kWcQPAAAAIFC8xS8JUWFeWganxBjP3aeYmwYAAACC05GbNQtUsW1ZOfrln722+/p3SA3MYKqJy+Xy2LqNSVUAAAAAqD3S61IZHbVbVo498SEmIlSRYaHWcZIjWWJvDokSAAAAAAJjryNxOyEqrEYVVkuI8tx9irlpAAAAIDjVnEgDCDKzVm23HcdHhenko1ICNJrqk+yYVGX1OQAAAADUHmkpsbbjDbsPBmgkQGBkZtsTH5zbxjuPvVUiBAAAAIDq4IxHkmMjfLQMTuw+BQAAANQcJKMDh2mmIxm9b7sGigg78v+kPCp8EfADAAAAQK2R7khG/2fPQRUUFQdoNED1cy7KT3QkRnhcN8lmET8AAACAwHBWRncmdtcEiRRKAwAAAGqEIz9zFqgCO/fn6qcNe2z39W/fMECjqV5JjgpfJKMDAAAAQO3hTEYvKjbanJkToNEA1S8rx1lZ0JmM7rhuksN1EwAAAACB4YxHnPFKTeDcfYoYCwAAAAhOJKMDh2HO6h0y5n/HsRGhOrVVSuAGVI2SWX0OAAAAALVWUkyER+XnDRnZARoNUP2c10GcyRxcNwEAAAAQLJzxiDNeqQmcY2b3KQAAACA4kYwOHIaZq7bZjk9v20BR4aEBGk318qyMTsAPAAAAALWJszr6OpLRUYtkOnaIc25zz45yAAAAAILF3uyaXxk9Mdo+ZmdMBgAAACA4kIwOlNOe7HwtWbfHdt+A9qkBGk31c1bAYys0AAAAAKhd0uvak9GpjI7aJMuR+ODcMt7jugmL+AEAAAAEyN4c585OR0Bl9BxiLAAAACAYkYwOlNNXa7arqNhYx1HhIepxdL0Ajqh6OSdZWX0OAAAAALVLmqMy+obdJKOj9nBuc+9M5nBeN6EyOgAAAIBAcc7jOuOVmsBzwS8xFgAAABCMSEYHymnmqu22415H11dMRFiARlP9nNtPU+ELAAAAAGqXdEcy+rpdJKOj9nAmczi3uXdeN3EmrwMAAABAdXHO49bEyujOmIsYCwAAAAhOJKMD5ZCVU6Dv/sqw3devfWqARhMYzoCf1ecAAAAAULs4k9G3ZuUot6AoQKMBqleWI/HBuWW887pJVk6Bit122AMAAACA6uKcx3XGKzWBs5p7FnPTAAAAQFAiGR0oh69/26GCov9NIEaEhej0NvUDOKLqlxxrn2Tdl1ugIiZVAQAAAKDWSHMkoxsjbdpzMECjAapXaZXRnddNio20P7ewyscFAAAAAO6MMR7J6M7FtDWBs5o7ldEBAACA4EQyOlAOX67cbjs+rVU9xUfVvKC9IpKi7ZOsxhyq8gUAAAAAqB3iIsNULz7Sdt+6jOwAjQaoPrkFRcpx7ALgTIxwXjeRSJYAAAAAUP0O5hcpv6jYdp+3eCXYOWMudp8CAAAAghPJ6Idh9erVuv7663X00UcrJiZGMTExatWqla699lqtXr263P2tWrVKUVFRcrlcWrBgwWGPa8CAAXK5XKX+fP7554f9HLXZgbxCffPnLtt9/dunBmg0geMM+CVpL5OqAAAAAFCrpNe1V0ffQDI6agFvi/GdW8ZHR4QqMsx+yXUvi/gBAAAAVDNvcUhSbM0rsuaMudh9CgAAAAhOJKOX0/PPP6+OHTvq1Vdf1R9//KGcnBzl5OTor7/+0uuvv66OHTvqlVdeKXN/+fn5uuyyy5SXl1fhsS1btqzCfcC3eWt3Kr/wf6vHw0Nd6tO2QQBHFBhR4aGKDg+13efcohoAAAAAcGRLS4mxHW/YTTI6jnzeKpwnRnsmcziTJaiMDgAAAKC6ZWbb45DQEJfiI8MCNJrD561QGjEWAAAAEHxIRi+HGTNm6JZbblFhYaE6dOigKVOmaPv27fr777/1/vvvq2nTpiosLNSNN96oL7/8skx9jho1SitWrKjw2LZu3art27dLkmbNmqX9+/f7/Onfv3+Fn682mrlym+345KNSlOgl+K0NPLdDI+AHAAAAgNokPSXOdrxuF8noOPJlZtsX4ydEhSk0xOXRznndhB3lAAAAAFS3vY5iYknR4XK5POOXYBcdHqoIdp8CAAAAgl7NW/oaQPfee68k6eijj9bixYsVF/e/idcWLVqof//+Ov7447Vx40bdfffdGjBggN/+FixYoGeeeaZSxrZ06VJJUkhIiE4++WTb2FBxB/MLteD3Xbb7BnRIDdBoAi8pJkLbsnKtY+dkLAAAAADgyJZOZXTUQs7F+MmxEV7beSajc90EAAAAQPXa64hfvFUYrwlcLpeSY8K1Y9//dpqnMjoAAAAQfKiMXkZr1qzRmjVrJEn33Xef12TvOnXqaOTIkZKk1atXa+PGjT77y8rK0hVXXKHi4mINHz68wuP75ZdfJElt2rRRfHx8hfuD3cLfdymnoMg6Dg1xqW+72puMnuy4WEHADwAAAAC1S1pKrO14x748ZecVBmg0QPXIdFYWjPGejJ7suN/5OAAAAACoamWNX2qCpGj72Nl9CgAAAAg+JKOX0fr165WQkCBJ6tq1q892LVu2tG5v3brVZ7sRI0bon3/+0QUXXKDLLruswuMrSUY/8cQTK9wXPM1ctd12fFKLOqrjo/pVbeBcOZ/FVmgAAAAAUKuk1Y31uI/q6DjSORfjJ0V7ryzoWRmdRAkAAAAA1WtvtmNnpxpaGV1i9ykAAACgJiAZvYwGDhyorKws7d+/X61atfLZ7s8//7RuJycne20zadIkvf/++2rQoIFeeeWVShnf0qVLJUnt2rXT008/rS5duig2NlZxcXHq1KmTxo4dq+xsJoUPR25Bkb7+bYftvn7tGwZoNMHBuXKeyugAAAAAULtEhYeqUWKU7b4NGQcDNBqgemQ5Eh58JXM4r5uQKAEAAACguu3NOXIqo7P7FAAAABD8wgI9gJomLi7O57mioiK98cYbkqR69eqpdevWHm22bNmiG264QZL0+uuvKyUlpcJj2rlzp7Zs2SJJeuCBB5Sfb08MXr58uZYvX64333xTM2fO9Dou+PbtnxnKzi+yjl0u6cxjGgRwRIHnnGwl4AcAAACA2ictJVZbs3KtYyqj40jnURndRzKH53UTFvEDAAAAqF5l3dmpJmD3KQAAACD4URm9Eo0bN06rVq2SJF133XUKCbG/vcYYXXnlldqzZ4+uuuoqDRo0qFKet6QqeolRo0Zp1apVysjI0M8//6xrr71WkrRu3Tr169dPmZmZ5ep/8+bNfn+2bdtWKa8jWH25yv76TmxeR/Xjo3y0rh2Sou2Trc7KYAAAAACAI196SqzteN0uktFxZHMuxncmRFj3R1MZHQAAAEBgOeOQ5NiaWxmd3acAAACA4FerKqM/9NBDGjNmTLkec8UVV2jChAmltvv000/173//W5LUqlUr3X333R5tnn/+eX311Vdq3ry5nn322XKNw59du3apYcOG2r17t+bMmaMePXpY5+rWratXX31Vbdq00ciRI7V+/Xo9+uijeuqpp8rcf9OmTSttrDVNfmGx5q7ZYbuvf4fUAI0meDgnW6nwBQAAAAC1jzMZncroONI5F+M7t4ov4VG1L4frJgAAAACql7N6uK/FtDUBu08BAAAAwY/K6JVg4sSJuvTSS1VcXKyEhARNnjxZ8fHxtjZr1qzRPffcI5fLpQkTJighIaHSnn/YsGHaunWrsrOzbYno7m6//XZ16NBBkjRhwgQZYyrt+Y9ki//O0L7cQtt9/dqTjO6cbGX1OQAAAADUPml1HcnoGSSj48jmsc29j2QOZ8XBvdlcNwEAAABQvZzzt84dnGoSjwW/zE0DAAAAQadWVUYfMWKEhgwZUq7HJCYm+j0/fvx4jRw5UsXFxYqPj9cXX3xhJX2XKCgo0OWXX67c3Fzddttt6tmzZ3mHXiZhYf5/nWeffbZWrlyp3bt366+//lKrVq3K1O+mTZv8nt+2bZu6dOlS5nHWJLNWbbcdd2qWpIaJ0QEaTfDwDPhZfQ4AAAAAtU2aozL67ux8ZeUUKDG65lZbA/zJdCZz+KqM7vgb2J9XqIKiYoWHUhcEAAAAQPVwLqZ1VhevSZyxF7tPAQAAAMGnViWjp6SkKCUlpVL6Kioq0i233KKXXnpJklS3bl19+eWXXpOyR48erWXLlqlt27Z67LHHKuX5D0ezZs2s27t27SpzMnqTJk2qakhBrbCoWLNX25PRB7RvGKDRBBdnwJ+dX6T8wmJFhDGpCgAAAAC1RbM6MQpxScVum69tyMjWcU2TAjYmoKoYY5SVU7ZkDm9J6lk5BUqJi6ySsQEAAACAu+Jio6ycsi2mrQk8du1m9ykAAAAg6JA5ehgOHDigc845x0pEb9GihRYvXuyzOvhHH30kSfrtt98UHR0tl8tl++nbt6/VtlevXnK5XEpLSyv3uIwxfs/n5/9vwiw2NtZPS0jSj+v3eFS86tc+NUCjCS7eJlupjg4AAAAAtUtEWIiaJMfY7tuwOztAowGqVnZ+kQqK7NfenAkRJZw7yklcNwEAAABQffbnFtoWjkve45Sawjn2kt2nAAAAAAQPktHLKSsrS6effrq++OILSVLXrl31/fffq3Xr1gEb02mnnaY6derojDPO8NtuzZo1kqTQ0FAdddRR1TG0Gu3LVdtsxx0aJ6ppnRgfrWsXb1uu781hBToAAAAA1DZpKfbF7ut2kYyOI1NmtmcyeaKPZI7w0BDFRdo3pHQWPAAAAACAqpLpZTGsr8W0NYG3RHpn5XcAAAAAgUUyejnk5uZqwIAB+umnnyRJgwYN0vz581W/fn2/j1uzZo3279/v82fGjBlW2y+//FL79++3EsfLIjY2VpmZmVq0aJH279/vc+yfffaZJOmUU05RXFxcmfuvjYqKjWat2mG7j6ro/xMWGqL4KMekqpdJWQAAAADAka2FIxmdyug4UjkTHcJCXIp3JJy7cyZL7CUZHQAAAEA1cRYRiwwLUXREaIBGU3FJ0Z6J9Ow+BQAAAAQXktHL4a677tLixYslSRdccIE+++wzRUdHl/q4mJgYxcXF+fyJioqy2kZHRysuLk4xMWWvwH355ZdLkvLy8nTnnXd6bXPbbbdpx45DydW+2uB/lm7MVMaBPNt9/UlGt3GunqfCFwAAAADUPml17dcvNmSQjI4jk7OyYFJMuFwul8/2ntdNSJQAAAAAUD28xS81WURYiGIdyfTMTQMAAADBhWT0Mlq5cqVefPFFSVLLli314osvKjc3VwcOHPD5U1RUVGnP/+OPP6pNmzZq06aNXnjhBdu5Sy65RN27d5ckvfbaaxoyZIh++OEHZWRkaMmSJTr//PP16quvSpKGDRums846q9LGdaT6cuU223Gb1Hi1qEc1eXfOixZZOUyqAgAAAEBtk+aojL4uI1vGmACNBqg6zkSHxGj/yRyeldG5bgIAAACgejjjD+di2ZooyfEa2H0KAAAACC6+95KFzXPPPWdNpv71119KTS29Svb8+fPVs2fPSnn+gwcP6vfff5ckZWRk2M6FhIRo6tSpGjRokJYsWaKJEydq4sSJHn1cdtllevPNNytlPEey4mKj2au32+7r375hgEYTvJwBP6vPAQAAAKD2aZFiX7i9P7dQe7LzVTcuMkAjAqpGVjmTOUiUAAAAABAozvijpldGl6Tk2HBt2ZtjHbP7FAAAABBcqIxeRkuWLAn0EPxKSUnRokWL9Oabb6pXr16qU6eOwsPD1ahRI51//vn68ssv9f777yssjPUHpVm+ea+2ZeXa7uvfofTFB7VNsuOiBQE/AAAAANQ+jZKiFB7qst23YXd2gEYDVB3nInxnsrmT53UTktEBAAAAVA+P+CX6CKiMHu1c8MvcNAAAABBMyEwuo5UrV1ZZ33369Cl1C+uePXuW2iYsLExXXXWVrrrqqsocXq0za5W9KvpR9WLVqn6cj9a1V5JjO+osJlUBAAAAoNYJCw1R0zoxWrfrfwno63Zl64TmdQI4KqDyORfhl1ZZ0HndhEQJAAAAANXFGX8kx9b8yujOGIzdpwAAAIDgQmV0wI0xRl+u3Ga7r3/7hnK5XD4eUXs5K4BRGR0AAAAAaqcWKbG2Yyqj40jkXITvrHzu5LxuQqIEAAAAgOrijD9K29mpJkj2mJsmxgIAAACCCcnogJvVW/dpc2aO7b7+HVIDNJrgxnbTAAAAAABJSqvrSEbPOBigkQBVx7Myuv9kDmfVPhbxAwAAAKguHvFL9JFYGZ0YCwAAAAgmJKMDbpxV0ZvViVG7hgkBGk1wc066OiuEAQAAAABqhzRHZfR1GVRGx5HHuQjfmQjh5KzaR2V0AAAAANXFGX8445OaiN2nAAAAgOBGMjrw/4wxmrlqu+2+/h1S5XK5AjSi4EaFLwAAAACAJLVwJKNv3J0tY0yARgNUjayc8iVzeFTty+G6CQAAAIDq4Yw/SltMWxN47tpNjAUAAAAEE5LRgf/3+479Wu+o3jagfcMAjSb4eavwRbIBAAAAANQ+zsroB/OLtHN/XoBGA1QNj23uS0nmcFbtyy0oVm5BUaWPCwAAAACc9mY7d3Y6EiqjOxb8UhkdAAAACCokowP/b+ZKe1X0xknROrZJYoBGE/ycAX9+UbFymFQFAAAAgFonNSFKkWH2S0zrdmX7aA3UPEXFxqMyelK0/2QOZ9U+icp9AAAAAKpeQVGx9ucV2u7zFp/UNM6EenafAgAAAIILyejA/5u5apvtuF/7VLlcrgCNJvh5W0GfyQp0AAAAAKh1QkJcSndUR9+wm2R0HDn25xbIuRlccqz/ZI6EqHA5LytRuQ8AAABAVXMupJWOjMrozl272X0KAAAACC4kowOS/tp5QH/sOGC7r3/71ACNpmZIiApTaIh9VjUzmxXoAAAAAFAbpdV1JKNnkIyOI4e3xffORAinkBCXEqPtCetURgcAAABQ1fZ6iTucsUlNlOTlNRBjAQAAAMGDZHRA0ixHVfT68ZE6vllygEZTM7hcnpOq3lbaAwAAAACOfGmOyujrSUbHEcSZ4BAZFqKo8NBSH+dMWKcyOgAAAICq5lxMGxcZpoiwmp8WkhDN7lMAAABAMKv5UQdQCb5cud123K99qkIcVb/hKSmGCl8AAAAAAKkFyeg4gmU5EhxKq4pewnndhEQJAAAAAFXNGXc445KaKpTdpwAAAICgRjI6ar2Nu7O1Zts+23392zcM0GhqFufkq7dtqwEAAAAARz5nZfSNew6quNgEaDRA5XImOJQ1mcO5jTyJEgAAAACq2uHGLzWBM8ZiwS8AAAAQPEhGR603c5W9Knrd2Ah1Sa8ToNHULM6AP4tJVQAAAAColdJSYmzH+YXF2pqVE6DRAJXLufi+rMkczkX8e7luAgAAAKCKOeOOsu7sVBMkecRYJKMDAAAAwYJkdNR6zmT0M45JVWiIK0CjqVmcAT+V0QEAAACgdqoXF6m4yDDbfeszsgM0GqByORfflzWZg0QJAAAAANXNGXc445KaLDmG3acAAACAYEUyOmq1LXtz9Oumvbb7+rdPDcxgaiACfgAAAACAJLlcLo/q6BtIRscRwrMyelmT0Z3XTUhGBwAAAFC1POKX6LLt7FQTeC74ZW4aAAAACBYko6NWm+Woip4YHa5uR9UN0GhqHuekahaTqgAAAABQa6XVjbUdr884GKCRAJXLufjeeT3EF+cifhIlAAAAAFQ1Z9zhjEtqMmcsxu5TAAAAQPAgGR212syV22zHfds1UHgofxZl5Vx9TmV0AAAAAKi9WqQ4k9EPBGgkQOXKyrEnOJQ1mcOjal8OiRIAAAAAqpYzQbusOzvVBMkec9PEWAAAAECwIOsWtdaOfbla+k+m7b4BHVIDNJqayRnws/ocAAAAAGqvNEcy+obdVEbHkcGzMnrZkjk8q/axiB8AAABA1TrcnZ1qAmIsAAAAIHiRjI5aa/bq7TLmf8fxkWHq3jIlcAOqgTwCfip8AQAAAECt5UxG37TnoAqKigM0GqDyZGY7KgtGly2Zw9sifuN+MQoAAAAAKpmzeJgzLqnJ2H0KAAAACF4ko6PWmrlyu+24d9v6igwLDdBoaiZvq8+Li5lUBQAAAIDaqIUjGb2w2GhzZk6ARgNUnixHgkNy7OFVRi8sNjqQV1hp4wIAAAAAp705R25l9GQqowMAAABBi2R01EoZB/L0w/rdtvv6d2gYoNHUXM6V9MVG2p/LpCoAAACAyrdy5UoNHTpUTZo0UUREhBo2bKhBgwZp1qxZFer3559/1mWXXaamTZsqIiJCSUlJ6t69u5577jnl5eVV0uhrh6SYCI9J7g0Z2QEaDVA58guLPRLInQkQvjir9kmeVQoBAACA6jBz5kwNHjxYTZo0UWRkpBISEnT88cfrgQce0K5duw67X2Lq4JJbUKTcAvsOZd7ikpoqKZrdpwAAAIBgRTI6aqU5q3fIvYB3TESoerSuF7gB1VDeVtI7V9sDAAAAQEVNmzZNJ5xwgt5//31t2bJFBQUF2r59uz7//HP1799ft9xyy2H1+9xzz+mkk07Shx9+qM2bN6ugoEBZWVlavHixbr31Vp100knauXNnJb+aI1taXXt19PUko6OG83adIzG6bMkcsRGhCg912e7LpHIfAAAAqlFhYaEuv/xyDRgwQJMnT9aWLVuUn5+v/fv3a9myZXrkkUfUvn17ff/99+Xum5g6+HiLN8q6mLYmYPcpAAAAIHiRjI5aaeaqbbbjXm3qKyo8NECjqbmiw0MVEWb/ZySTCl8AAAAAKtEvv/yiIUOGqKCgQCeeeKIWLFigjIwM/fTTTzrnnHMkSc8//7xefPHFcvU7d+5c3XbbbSoqKlLbtm01bdo0bd26VStWrNAtt9yikJAQLV++XBdddFFVvKwjVosUktFxZMnycp2jrNvcu1wujyqEVEYHAABAdbr33nv1wQcfSJLOOeccfffdd8rIyNCKFSv02GOPKSYmRjt37tRZZ52lLVu2lLlfYurg5Iw3XC4pIerISUZPjmX3KQAAACBYkYyOWmfvwXx9//du233926cGaDQ1m8vlUlK0/QIGFb4AAAAAVKZ///vfys3N1VFHHaV58+apR48eqlu3rjp37qwpU6bovPPOkySNHj1a+/btK3O/jz/+uIwxatCggRYuXKizzz5bDRs2VIcOHTR+/Hjde++9kqSFCxfqm2++qZLXdiRKcySjb9hNMjpqNuei+/jIMIWHlv2SKtdNAAAAEChbt27V+PHjJUmXXXaZpk6dqpNPPll169ZVhw4ddO+992r+/PkKCwvTnj179Nhjj5W5b2Lq4OSMNxKjwxUS4vLRuuaJjQhVWAi7TwEAAADBiGR01DpfrdmhwmJjHUeGhajX0fUDOKKaLdlR4ctbxTAAAAAAOBy//fabZs6cKUm67777FBcXZzvvcrn0zDPPyOVyac+ePZo8eXKZ+/7xxx8lSWeffbbq1avncf7666+3bv/www+HM/xayZmMTmV01HQeyRzl3OLeed2Eqn0AAACoLlOnTlVhYaEk6dFHH/XapkuXLho0aJAk6Ysvvihz38TUwckZbzjjkZqO3acAAACA4EUyOmqdmau22457tK6n2MiwAI2m5nNuTc3qcwAAAACVpSQR3eVyWZPjTmlpaTr22GMlSdOmTStz3yEhhy6JFBR4n7SMiPjf5GZoaGiZ+63tWjiS0bfszVFuQVGARgNUnHPRfXmTOZzXTUiUAAAAQHXZunWroqOj1aBBAzVv3txnu5YtW1rty4qYOjg54w1nPHIkSGZuGgAAAAhKJKOjVtmXW6Bv/8yw3TegQ8MAjeb/2Lvv+KjqrI/j3zvphRQSiiiQgCCoNEVYRQSxIeAqi64NFNvquopgQVHWXlbXslhWZVcFlLUCFpqogIqIDSkCIiUBpCekkF7mPn/wEJjfJCSBmbkzyef9evF6mDt37pzkcX15fr/zO6dh8C5GZ1MVAAAAgG8sW7ZMknTMMceoefOaJ1r16NFDkvTTTz/V+dm9evWSJM2ePVu7d+/2en/y5MlVf+/Tp0+dn9vYmZ3RbVvasqfIoWiAI2cWNtS3mIND/AAAAHDKo48+qqKiIv3222+HvG/dunWSpOTk5Do/m5w6OHnlLzENrxidA78AAABAcKIYHY3K/DW7VFbprnodEWZpQOeaCxpQO7MjWB6bqgAAAAB8ZNOmTZL2dT8/lP0d3rZu3VpjVzbTww8/rOjoaO3atUtnnnmmZs6cqe3bt2vNmjX6+9//rvHjx0uSrr76avXu3fvwf4hGJj4qXKnxUR7XMrIKHYoGOHLmoXtzJHxtzHWTXNZNAAAAEGAJCQk1vrdlyxbNnj1bUv2Kxsmpg5OZb9R3slMoMHMyitEBAACA4BDudABAIM35ZbvH674dmikhuuGdCA8kM+GnMzoAAAAAX8nK2jfZqrbubImJiZIk27aVl5en1NTUWp/9hz/8QZ9//rlGjRqlpUuX6oILLvB4v2nTpho/frxuu+22w4r9999/P+T727dvP+T7oaxdapyyCkqrXlOMjlCWV2wWc9S3M7pRKFHMugkAAACCg9vt1l/+8heVle37b96bb765zp/1Z07dmPPpI2UWZtf3MG0oMHMypk8BAAAAwYFidDQahaUVWrjWc0zcwBNbOhRNw8G4aQAAAAD+UlJSIkmKiYk55H0Hv19cXFzn5+fl5alJkyY1vvf9999r06ZNSk9Pr/Mz92vdunW9P9NQpKXG6vvMPVWvM7MpRkfoyik8smIO73UTitEBAAAQHMaMGaO5c+dKki677DKdddZZ9fq8v3LqxpxPHynvyU4Nrymbd2d09qYBAACAYOByOgAgUBau3a3SCnfV63CXpXOPb+FgRA2Defo8jw5fAAAAAHwkLCxMkmRZ1iHvs2276u8uV92WOp555hkNHjxYX375pS655BItXbpUJSUl2rVrlyZPnqwWLVronXfeUZ8+fbR27drD/yEaobTUOI/XdEZHKDMP3SfF1K+Yw1w3oVACAAAATrNtW6NHj9bzzz8vSerSpYv+85//1OsZ5NTBycw36jvZKRSYBfZMnwIAAACCA53R0WjM/sVzZNup7VMa5GiyQDN/h3RGBwAAAOAr8fHxkmrvdr6/g7okRUdH1/rc3377TXfffbck6cYbb9Qrr7xS9V6zZs101VVX6cwzz1TPnj21fft23Xzzzfriiy/qFfuWLVsO+f727dvVq1evej0zVLSjGB0NiHnoPjmufsUc3l37KJQAAACAc0pLS3Xttdfqf//7nySpc+fOmjdvXlX+XRf+zqkbcz59pMzC7Ia4F57stTdNjgUAAAAEA4rR0SiUlFdqwa+7PK6df+JRDkXTsJgdwXILSfgBAAAA+EZiYqKkfeO9DyU3N1fSvq7oycnJtT73tddeU2VlpaKiovTkk09We0/r1q117733avTo0Zo/f77WrVunDh061Dn2Y445ps73NjRmZ/Sd+aUqKqtQbCTLUAg9Xp3R61nMYXbtyy8pV6XbVpjr0BMfAAAAAF/LysrSRRddpG+++UaSdPLJJ2vOnDlq1qxZvZ7j75y6MefTR8rsjG7mIw2B1940jdIAAACAoFC32dVAiPvyt90qKquseu2ypHNPaOFgRA1HcpznJuze0gqVV7odigYAAABAQ9KxY0dJ0ubNmw953/73W7duLZer9qWO3377TZJ0/PHHVxW8V+eMM86o+vuvv/5a63OxT9umcV7XMrOKHIgEODK2bXt12TMLH2pjdu2zbe9u6wAAAIC/rVu3TqeeempVIfrAgQO1cOHCeheiS+TUwcq2ba9JTGY+0hAwfQoAAAAIThSjo1GYs3K7x+te6U2VGh/lUDQNS3Un6tlUBQAAAOALXbt2lSRlZmZWdT+vztKlSyVJ3bt3r9Nzy8rKPP5vTQ4ubK/tXhwQExmmVonRHtcysgodigY4fCXlbpVVeB64r28xR2I1xet07gMAAEAgrVixQqeddprWr18vSbrhhhv0ySefKD4+/rCeR04dnApKK1Thtj2uNcTO6Mlx1U+fAgAAAOAsitHR4JVWVOqLNbs8rg3qcpRD0TQ8STHem7BsqgIAAADwhUGDBkmS3G63Zs2aVe09Gzdu1MqVKyXt6+xWF506dZK0rzPb9u3ba7zv66+/9voM6iYt1bM7emY2xegIPTnVrG/Utxg9OiJMMRFhxnM5xA8AAIDAWL9+vc455xxlZWVJkh555BFNnDhR4eHhh/1McurgVF2HcLOLeENg7k0zfQoAAAAIDhSjo8H7Zn2W9pZWeFw774SWDkXT8ESGuxQX6bmpyjg0AAAAAL6Qnp6u008/XZL00EMPKS8vz+N927Z1xx13yLZtpaamasSIEXV67mWXXSZJqqys1OjRo+V2u73u2bp1qx5//HFJ+zq0n3DCCUfyozQ6ZjE6ndERisxidJclNYmuf9FOstGNkEP8AAAACISysjJdeuml2rVrX9Ou5557TuPHjz/i55JTByczf4kIs7z2cBuC6rq9k2MBAAAAzqMYHQ3enJU7PF73bJusFgnRNdyNw2GeqqfDFwAAAABfee655+RyubRu3Tr17dtX8+bNU1ZWlpYuXaqhQ4fqww8/lCQ9+OCDiovzLIDu1KmTOnXqpKuuusrj+imnnKLrrrtOkvTee+/p7LPP1qeffqpdu3bp999/1xtvvKHevXtr+/btioiI0IsvvhiQn7UhSU+hGB2hL89Y30iMiZDLZdX7Oea6CYf4AQAAEAgTJ07U0qVLJUmXXHKJrr/+ehUUFBzyz8HIqUOLmWckxUbKsuqfvwQ7pk8BAAAAwenw528BIaC80q15q3d6XBt4Il3RfS0pNkJbc4urXlc3xhoAAAAADkfPnj312muv6YYbbtDKlSt13nnned1z++23629/+5vX9bVr10qSWrb0zgNffvlllZeXa8qUKVqwYIEWLFjgdU+TJk00ZcoU9e3b1wc/SeOSbnRGz6QYHSHILGhIPswR92bnPtZNAAAAEAgTJkyo+vv777+v999/v9bP2LZd9Xdy6tBi5hlJMd4dxBuKpNgIFedVVr2mMzoAAADgPDqjo0FbsjFbecWeG4fndznKoWgaLnMz1uwcBgAAAABHYuTIkVq6dKlGjBihY445RhEREUpOTtY555yjGTNm6Jlnnqn3MyMiIjR58mR9/vnn+vOf/6xjjjlGkZGRio+PV9euXXX33XdrzZo1uuiii3z/AzUCaUYxenZhmVd+DgQ7s5gjsZpx8HXhtW7C/xYAAADgZ9nZ2Vq/fr3fnk9OHXzMzuiHe5g2FDB9CgAAAAg+dEZHgzZ75Q6P192OSdTRSTEORdNw0eELAAAAgL916dJFU6ZMqddnDu7oVpOzzjpLZ5111uGGhRq0aRorlyW5D/p/QWZWobq1TnIsJqC+zKJxOqMDAAAgVKSkpNQpJz4UcurQYhZkm3lIQ5JMjgUAAAAEHTqjo8GqdNuat8qzGJ2u6P7hvanK6XMAAAAAaMwiw106JjnW41pmdqFD0QCHJ6fQGHN/mMUcrJsAAAAA8DezILshF6ObPxud0QEAAADnUYyOBuv7jD3KNjYNzz+xpUPRNGze46Y5fQ4AAAAAjV1aapzH64wsitERWsyi8aSYw+uM7rVuQqEEAAAAAB/LNYrRD3eyUyhIMn62XPamAQAAAMdRjI4Ga+4v2z1eH39UgtqmxNVwN46EmfDnFLKpCgAAAACNXXqKZ2d0itERaszD9uYo+LryWjdhhDwAAAAAH8stNg7TNuBidDM3Y/oUAAAA4DyK0dFgtUqKUZumBza+6YruP0kxZsLPpioAAAAANHbpRmf0TIrREWK8OqPHHV4xh7luwgh5AAAAAL7mlb8c5mHaUGBOrTK7wgMAAAAIvHCnAwD85cZ+7fWXM9pp9fZ8zVm5Q0O6tXI6pAYrOc5zMSOvmE1VAAAAAGjs0oxi9IysQtm2LcuyHIoIqB+zoMEsKq8rc92EQgkAAAAAvmbmGYc72SkUmIX2HPgFAAAAnEcxOho0y7J0QqtEndAq0elQGjTGTQMAAAAATGZn9PySCu0pLFNKfJRDEQH1YxY0JB/mmHtz3aSwrFJlFW5FhjO0EgAAAIBvmPmLmYc0JGZuRjE6AAAA4Dx2PAAcMbMzWEm5WyXllQ5FAwAAAAAIBkcnxSgizLMLemZ2oUPRAPVj27Zyi30z5r66jup0RwcAAADgK5VuW/klvslfQoH5s9EoDQAAAHAexegAjlh1ncE4gQ4AAAAAjVt4mEutm8Z6XMvIKnIoGqB+9pZWqNJte1w73GKOxOqK0YtZNwEAAADgG3nF5bI905fDnuwUCsyu70VllSqtoFEaAAAA4CSK0QEcsYSYCFmeze44gQ4AAAAAUHpKnMfrjKwChyIB6ie30LtY/HCLOcLDXEqIDve4llPIugkAAAAA36hu8lJ1h2IbiuRqDgrn0SgNAAAAcBTF6ACOWJjLUkI049AAAAAAAJ7SUz2L0TPpjI4QYa5rRIRZio0MO+znmZ37ciiUAAAAAOAjZn4RExGm6IjDz1+CXXWF9uRYAAAAgLMoRgfgE+YJdE6fAwAAAADSUs3O6IUORQLUT26x57pGUmykLHMsXD14rZsUc4gfAAAAgG+YndGr6xzekISHudTEmD5VXXd4AAAAAIFDMToAn6DDFwAAAADA5NUZPbtQtm07FA1Qd74u5mDdBAAAAIC/5BZ5H6Zt6JLJsQAAAICgQjE6AJ9IMjZlzXHWAAAAAIDGxyxGLyqr1K69pQ5FA9RdTqHnukZSzJEVc7BuAgAAAMBfzPzCzD8aIvNnpDM6AAAA4CyK0QH4hHn6PK+Y0+cAAAAA0Ni1TIhWVLjn8lNGVqFD0QB1l1tsdhY8smIOr3UTuvYBAAAA8BFzX9bMPxois/u7mcMBAAAACCyK0QH4hFeHr0JOnwMAAABAY+dyWUpL8eyOnkkxOkKAOeb+SIs56IwOAAAAwF8aY2f0ZHIsAAAAIKhQjA7AJ8xx1Tl0+AIAAAAASEpP9SxGpzM6QoGvizmSYsxCCdZNAAAAAPiGmV80hmJ0M8fKLSTHAgAAAJxEMToAn0iO80z484o5fQ4AAAAAkNIoRkcIMjujmyPg6ys5zvPzeRSjAwAAAPARM7840slOocDM0XLZmwYAAAAcRTE6AJ8wE346fAEAAAAAJCk9NdbjdWY2xegIfrlGZ3RzBHx9ea+bUCgBAAAAwDe8Jzs1/GJ0M0djbxoAAABwFsXoAHzCaxQam6oAAAAAAEnpqfEerzOzi+R22w5FA9SNr8fce6+blMu2+d8BAAAAgCPnNdkp5sjyl1Dg1RmdvWkAAADAURSjA/AJc9wbm6oAAAAAAElKMzqjl1W4tS2v2KFogLoxCxmOtLOguW5SVulWcXnlET0TAAAAAKRqJjvFNYZidO8DvwAAAACcQzE6AJ8wE/4Kt62C0gqHogEAAAAABItm8VGKiwzzuJaZVeRQNEDtKirdyi/xXNMwi8nrK6maYhDGyAMAAAA4UmUVbhWWeR50PdLDtKHAuzM6jdIAAAAAJ1GMDsAnqhtXzQl0AAAAAIBlWUpvFudxLSOrwKFogNrlFXuvZ1S37lEfTaLCFeayPK7lFDJGHgAAAMCRMbuiS1JSTMPvjJ5s5GhllW4VlTF9CgAAAHAKxegAfCI+KlzhxqYqxegAAAAAAElKSzGL0emMjuCV64didMuyvApCqit6BwAAAID6qC5/SWwExejVdX+v7ncBAAAAIDAoRgfgE5ZleSX9OdWcxAcAAAAAND7pqZ7F6JnZhQ5FAtTO7CwYGxmmqPCwI36uWdDOugkAAACAI2VOXEqIDld4WMMvA2kSFS6jTxrTpwAAAAAHNfwsBEDAsKkKAAAAAKiOWYyekUUxOoJXTqFnNz1fjbj3PsRP1z4AAAAAR8bMK6rrGN4QuVzejdKY2g0AAAA4h2J0AD6THMu4aQAAAACAtzSjGH3LniJVVLodigY4NHO0u6+KObzWTTjEDwAAAOAI5RV75hVm3tGQmY3ScovJsQAAAACnUIwOwGe8OnwVUowOAAAAAJDSUzyL0Svctn7PKXYoGuDQco0i8eQ4OqMDAAAACE6NtTO65D3FihwLAAAAcA7F6AB8xjvh5/Q5AAAAAEBKjov06liWkVXoUDTAoZnrGUkxvinmYN0EAAAAgK955S+NqDN6slF4n1tIjgUAAAA4hWJ0AD6THOeZ8OcVc/ocAAAAALBPmtEdnWJ0BKtcr86Cvinm8Fo3oWsfAAAAgCNk5hVmgXZDZnaBz2VvGgAAAHAMxegAfMbcnKXDFwAAAABgv/RUz2L0zGyK0RGczGJ0XxVzsG4CAAAAwNcac2d0ciwAAAAgeFCMDsBnzLHV5uYtAAAAAKDxMovR6YyOYOWvYg7WTQAAAAD4Wo452Smm8RSjJxu5GtOnAAAAAOdQjA7AZ8yEP5fT5wAAAACA/5dGMTpChFkkbo5+P1xe6yaMkAcAAABwhMwC7OQ43+QvocDM1eiMDgAAADiHYnQAPuOd8LOpCgAAAADYJz3Fsxh9a26xSisqHYoGqJl5uN4sIj9c5rpJblGZ3G7bJ88GAAAA0Dh5T3ZqTMXoZqM09qYBAAAAp1CMDsBnzIQ/v6RclWyqAgAAAAAkpaXGery2bWlzdpFD0QA18xpz77NidM/nuG1pb0mFT54NAAAAoPGxbdt7slOMb/KXUJBsHvhl+hQAAADgGIrRAfiMmfDbtpRP0g8AAAAAkNQkOkKp8VEe1zKyCh2KBqheSXmliss9O/b7qrOguW4iSbnFjJEHAAAAcHiKyytVVun2uFZd3tFQeXdGZ/oUAAAA4BSK0QH4THWdwszRcAAAAACAxivd6I6emU0xOoJLXjWH6n1VzBETGaaocM/lWLMLOwAAAADUVXX5RFJc4+mMbh4cZvoUAAAA4ByK0QH4THREmKIjPP+1wjg0AAAAAMB+6alxHq/pjI5gU92h+oTocJ893zzIzyF+AAAAAIcrp9AznwhzWWoS5bv8JdglV9MojelTAAAAgDMoRgfgU2a3sFw2VQEAAAAA/y+NYnQEuVyjs2BCdLjCw3y3hGqum+TRGR0AAADAYTInOyXFRMiyLIeiCbyYiDBFMn0KAAAACAoUowPwKXMcWk4hCT8AAAAAYJ/0FM9i9MysIociAapnHqpPjous4c7DQ2d0AAAAAL5i5hOJ1XQKb8gsy1JSDDkWAAAAEAwoRgfgU2bCn1tMMToAAAAAYB+zM/qO/BIVlVU4FA3gzeyiZ65zHKmkGOMQP137AAAAABwmM58wJzE1BkyfAgAAAIIDxegAfCo5zihG5/Q5AAAAAOD/pRmd0SW6oyO45JrF6D4u5jDXTfJYNwEAAABwmMx8IrmRdUaXmD4FAAAABAuK0QH4lLlJS8IPAAAAANgvJjJMRyVGe1zLzC50KBrAm3mo3tfFHN7rJnTtAwAAAHB4zHwiMabxdUb3LkYnxwIAAACcQDE6AJ8yx1ebHcUAAAAAAI2b2R09I4tidAQP81C9rzujm+smHOIHAAAAcLjMfKIxdkZPNnI2pk8BAAAAzqAYHYBPmQk/xegAAAAAgIOlN6MYHcHLXMcwu+wdKa9CiWLWTQAAAAAcnjwjf0mOa4yd0Zk+BQAAAAQDitEB+JT3KDROnwMAAAAADkg3OqNnUoyOIGIWo5vF40cqkXUTAAAAAD5i5hOJMY2vMzp70wAAAEBwoBgdgE+Zp8/pjA4AAAAAOFhaKp3REbzMwgV/d0bPLWTdBAAAAMDh8fdh2lCQbORsTJ8CAAAAnEExOgCfMhP+XE6fAwAAAAAOkm4Uo2cXlim/hM1iBIdco3DBPHR/pMx1k72lFSqvdPv0OwAAAAA0Dmb+YuYbjYGZs9EZHQAAAHAGxegAfMpM+AvLKlVWwaYqAAAAAGCfNk1j5bI8r2XSHR1BwLZtr0P1vi7mSKzmeXTuAwAAAFBfbrd3/lJdvtHQJcUYjdKYPgUAAAA4gmJ0AD5V3fjq3GJOoAMAAAAA9okMd+no5BiPaxkUoyMIFJZVqrzS9riWFOPbzujVPY+pcgAAAADqa29Jhdye6YuSfTzZKRQkx3n+zEyfAgAAAJxBMToAnzJPn0tSbhEn0AEAAAAAB6Snxnu8phgdwaC6ovCkON92FowMdyk+Ktz4XtZNAAAAANRPdc3AGmMxenWN0pg+BQAAAAReeO23wLRq1Sq98MILWrBggbZs2SJJOvroo3XmmWfqtttu0wknnFDjZ48//nitWbOm1u9YuXKlTjzxxHrHtmjRIj377LP65ptvlJubq2bNmun000/XbbfdplNPPbXezwPqKzzMpSbR4dpbUlF1LaeQDl8AAABAsBowYIDPnmVZlr744gufPQ8NV3pKrL466HUmxegIAmZReJjLUpMo3y+fJsZEqKD0oHUTitEBAAAA1JOZR0SGuxQd0fh6EdY0fSo1PsqBaAAAAIDGi2L0enrhhRd0++23q6KiwuP6+vXrtX79er3xxht64YUXdNNNN3l9tqioSGvXrvVbbC+99JJuvfVW2faBeVxbt27Vu+++q/fff19PPvmk7rzzTr99P7BfUmyERzF6LqfPAQAAgKC1cOFCWZblkUvuZ1lW1d/r8v7Br4FDSUuN83hNZ3QEgxyjM3pSTIRf/r2WHBehrbnFNX4vAAAAANTGzCOSY/2TvwS7yHCX4iLDVFhWWXWN6VMAAABA4FGMXg+ffPKJRo0aJUnq0qWLHn74YZ166qkqLCzUt99+q3HjxmnLli26+eab1aZNGw0aNMjj88uWLZPb7ZYkrV69Wq1bt67xu2JjY+sV26xZszRq1CjZtq2BAwfqoYceUvv27bV69Wrde++9WrRokcaOHatOnTppyJAh9fzJgfpJjo3Ulj0HNlWrG3MNAAAAIDhcddVV1W5WZmdna+bMmZKk5ORknXfeeerUqZMSExNVWlqqjRs36tNPP9WmTZsUHh6uW2+9Vc2bNw90+AhR6dUUo3OgAU4zCxaqG/fuC8mxnp378iiUAAAAAFBPZh5h5hmNSVJspArLDj7wS44FAAAABBrF6PVwzz33SJKOO+44LV68WPHx8VXvtWvXTueff75OOukkbdq0SWPHjvUqRv/pp58kSc2aNVPnzp19Fpdt27r77rvldrvVp08fffLJJwoP3/f/2r59++rzzz9Xv3799N133+nOO+/UoEGD5HI1vhFdCJwkY7GDhB8AAAAIXpMmTfK6VlxcrF69esmyLI0ePVqPPfaYoqOjve6zbVvPPvusxo4dq48++kg//vhjACJGQ2AWo+eXVCinqFxN4xrv5jmcZx6m91cxR2KMZ5E7ndEBAAAat8rKSm3ZskVpaWlOh4IQYuYRZp7RmCTFMn0KAAAAcBoVyXW0evVqrV69WpI0btw4j0L0/Zo2barbb79dkrRq1Spt2rTJ4/2lS5dKkk455RSfxjZ37lytWrVKkvTQQw9VFaLvFxUVpSeffFKStHbtWn355Zc+/X7AlGQsdjAKDQAAAAgtTz31lFatWqWrr75azzzzTLWF6JJkWZbuuOMO3Xbbbdq4caMeeuihAEeKUHV0UozCXZ5d0DOyChyKBtjHPEwfqM7oHOIHAABoONLT09W+fXuVlJTU6f6srCzFxsaqX79+fo4MDY2ZRzTmzuhMnwIAAACcRzF6HWVkZCghIUGS1Lt37xrvO/bYY6v+vm3bNo/3/FWMPmfOHElSQkJCjQsVffv2VdOmTSVJH330kU+/HzAlx5rF6Jw+BwAAAELJ22+/XdUVvS5uvPFGSdKHH37ov6DQoISHudQmJdbjWkZWkUPRAPuYh+nNyW++Yq6b5BWzbgIAANBQbNq0SZmZmXK73XW6v6CgQOXl5dq1a5efI0NDk2dOdopr3J3RD0ZndAAAACDwwmu/BZI0ePBg5eXlqaCgQDExMTXet27duqq/JycnV/29pKSkqrN6u3bt9MADD2jGjBlat26dIiIidMIJJ2j48OH6y1/+ooiI+iWKy5YtkyR169bNqyv6fi6XS127dtXChQv1008/1ev5QH2Zm7Uk/AAAAEBo2bx5sySpdevWdbq/WbNmkqSdO3f6LSY0POkpcdq4u7DqdWZW4SHuBvzPPExvFo37SqK5blJI1z4AAIBQ43a79fTTT9fYAf3xxx9XZOShDzeWlZVp7ty5klTVVAyoK7MzemJM4+2M7l2MTo4FAAAABBrF6PUUHx9f43uVlZX673//K2nfRnzHjh2r3luxYoUqKiokSTfccIPKyg5sbpWUlGjJkiVasmSJJk2apJkzZ6pFixZ1jmnTpk2SpLS0tEPe17ZtW0lSZmZmnZ8NHA4z4Tc7iwEAAAAIbi1atNDmzZu1Zs0anXbaabXe//3330uSjj76aH+HhgYkLTXO43VGNsXocJZ5mD5QndE5xA8AABB6XC6XSktL9eCDD8qyrKrr+//+xBNP1Ok5tm1Lkv785z/7Pkg0aGYe4a/DtKEg2cjdmD4FAAAABB7F6D701FNP6ZdffpG0b0S5y+Wqeu/gbuTR0dF67LHHdOGFF6pp06b69ddf9dxzz2natGn68ccfdcEFF2jRokW1npbfLysrS5JnJ/bqJCYmSpJycnLq9XP9/vvvh3x/+/bt9XoeGj4z4acYHQAAAAgtvXr10qZNmzR+/HjNmzevxilc0r6R4mPHjpVlWerfv3/ggkTISzeL0XdTjA5n5RZ7rl+Yh+19xbtQgnUTAACAUHTPPfdo3rx5HnupmzZtkmVZat26tUeRusmyLIWHhyslJUVnnnmmHnjggUCEjAbEzCPMPKMx8ZrazfQpAAAAIOAaVTH6gw8+qIceeqhen7n66qs1adKkWu/74IMPNH78eElShw4dNHbsWI/3c3Nz1axZM5WXl2vx4sXq3Llz1Xt9+vRRnz59dNttt+n555/XDz/8oIkTJ+qWW26pU4z7x7/FxMQc8r797xcXF9fpufvVdSw7sJ/3KDROnwMAAAChZPTo0Xr//ff15Zdf6qyzztITTzzh1SHdtm19+umnuuuuu7Rq1SpFRkbqzjvvdChihCKzGD0zu1C2bR+yYAPwJ/Mwvb+KORJZNwEAAGgQIiIi9PXXX3tc29+sbPXq1YqNjXUiLDQSZh5h5hmNSVIMORYAAADgNFftt6A27777rq644gq53W4lJCRo2rRpatKkicc948aN065du7R7926PQvSDPfnkk2rWrJkk6fXXX6/z94eFhUlSrZu1+8e8HdyxHfAH8/R5bnF51T9/AAAAAILfqaeeqocffli2bWvRokXq27evEhMT1aNHD/Xp00fdu3dXkyZNNHjwYK1atUqS9Nprr+m4445zOHKEkjSjGL2orFK795Y6FA3gXbBgFjT4ilnkXlLuVkl5pV++CwAAAIF1xhln6IwzzqjavwX8JbeQzuj7Jcd55m5MnwIAAAACr1F1Rr/lllt02WWX1esziYmJh3x/woQJuv322+V2u9WkSRPNmjVLXbp0qfH+Q402j46O1rnnnqupU6dq2bJlKi0tVVRUVK0xxsfHKycnp9aO5/s7qEdHR9f6zINt2bLlkO9v375dvXr1qtcz0bAlGyfvyyrcKi6vVGxko/pXDgAAABDSxo8fr2OOOUbjxo3Tzp07tXfvXi1fvtzrvnbt2unVV1/VWWed5UCUCGVHJUQrKtyl0gp31bWNWYVqnlC/dQvAF9xu26tgwTxs7yvmuom0ryt7y0QKlgAAAELdwoULnQ4BjUB5pVt7Sys8rlWXZzQWZu5GZ3QAAAAg8BpVZWhqaqpSU1N98qzKykqNGjVK//73vyVJKSkpmj179hEXZbdp00bSvi7m2dnZatWqVa2fSUxMVE5OjvLy8g55X25uriTV+3dwzDHH1Ot+oLrN2pyicorRAQAAgBAzcuRIXXbZZZo/f77mz5+vLVu2KDc3V02bNlWbNm00cOBA9evXjwlcOCwul6W0lDit3bm36lpmVqH+0C7FwajQWOWXlMsc6mZ21/OVJtERsix5fF9OUZlaJnIQAwAAAEDtquv8ndiYi9GNqVb7p09FR3DgFwAAAAgUKkMPQ0FBgS677DLNmjVL0r4ucHPmzFHHjh1r/axt27Isq8b3y8oOnNKNi4ur8b6DdezYUZmZmdq8efMh79v/ftu2bev0XOBwNYkKl8uS3AdtquYWlenopBjnggIAAABwWKKjozVo0CANGjTI6VDQAKWlxnoUo2dkFzoYDRqznCLvYo6kGP90Rg9zWUqMiVDuQd9J5z4AAICGw7ZtTZkyRdOnT1dGRoaKiorkdrsP+RnLsrRhw4YARYhQl1tN/uCv/CUUJFfTKI3pUwAAAEBgUYxeT3l5eTrnnHP0ww8/SJJ69+6tjz/+WM2bN6/xM2VlZeratau2b9+uSy65RP/9739rvHf16tWSpBYtWigxMbFOMXXt2lXz5s3T8uXLayx2d7vdVePUu3fvXqfnAofL5bKUFBupPYUHFkJyq9nUBQAAABBa8vPzlZ+fzwQt+Ex6aryknVWvM3ZTjA5nmMUcUeEuxUT6r3AhOTbSY60kj3UTAACABqGyslJDhgzRvHnzJO0rTK+LQzUzA0zmvmt8VLgiwxvv1LqEGKZPAQAAAE6jGL0eSkpKNGjQoKpC9AsuuEDvvvuuYmIO3e05MjJSlmUpPz9f8+bNU2VlpcLCvDezduzYofnz50uSBg4cWOe4Bg0apKefflrZ2dlavHix+vTp43XPV199pZycnHo/GzhcSbERHsXodPgCAAAAQtNHH32kiRMnavHixcrPz5dlWaqoqJAknXvuuTr22GN1//33q2XLlg5HilCUnhrr8TqTzuhwiFnMUV1nPV9KNMbIV9eZHQAAAKHnv//9rz799FNJUkxMjE455RQ1b95cUVFRDkeGhsTMH8z8orEJc1lKiI5QXjHTpwAAAACnUIxeD3fddZcWL14sSRo2bJjeeecdhYfX7Vc4fPhwjR8/Xlu2bNFTTz2lcePGebxfUVGh66+/XqWlpQoLC9OYMWPqHFe/fv3Utm1bbdq0SXfffbfmz5+vyMgDG2alpaW6++67JUknnHCCzjvvvDo/GzhcScaiB53RAQAAgNBSUFCgyy+/XLNnz5ZUfTe3FStW6IsvvtD06dM1a9YsnXzyyYEOEyEuLSXO43VmdpHcblsuF10BEVhmoUJSrH+LOZJjzWJ0CiUAAAAagsmTJ0uSTjrpJM2ZM0fNmjVzOCI0RGb+kBzXuIvRpX051sHF6EyfAgAAAAKr8c5qqqeVK1fqpZdekiQde+yxeumll1RSUqKCgoIa/1RWVlZ9fvTo0Tr22GMlSffdd59uueUWLVu2TFlZWVqwYIHOOusszZo1q+r9bt26eXz/999/r06dOqlTp0568cUXPd5zuVx67rnnJEnffPONzjnnHH3zzTfKzs7WokWLdPbZZ+v777+XZVl64oknGPOGgDA7iJnjrgEAAAAEt2HDhmn27NmybVt9+vTRnXfe6XVPt27dZNu2du3apT/+8Y/Ky8tzIFKEsvRmnsXoZRVubcsrdigaNGbmIXr/F6N7rpscXDQBAACA0LVq1SpZlqWnn36aQnT4jVlo7e/JTqEgyfgdMH0KAAAACCyK0evo+eefr+oCt379erVs2VJNmjQ55J+vv/666vNxcXGaO3eujjvuONm2rZdeekk9evRQs2bNNGDAAH311VeyLEt33XWXHnroIa/vLyoq0tq1a7V27VplZWV5vT906FA9/PDDkqSvvvpKp59+ulJTU9W3b18tWrRIlmXpX//6ly644AI//YYATyT8AAAAQOh655139NlnnykyMlIffvihvvrqKz3wwANe93366aeaNm2aoqOjtWPHDr3wwgsORItQ1iw+SnGRYR7XMrOKHIoGjZl5iN7fxRyJZmf0Qg7xAwAANAT795PNxmOAL5md0RNj6IxuHihm+hQAAAAQWBSj19GSJUuO+Bnt27fX0qVL9eyzz+rUU09VYmKiIiMj1aZNGw0fPlzffPONnnrqqcN+/t///nd9/fXXGjZsmFq0aKHw8HA1a9ZMF154oRYsWKBRo0Yd8c8A1JWZ8JsdxgAAAAAEr8mTJ8uyLN1zzz364x//eMh7hw4dqnvvvVe2beujjz4KUIRoKCzLUlqqZ3f0jOxCh6JBY2Yeog90Z3QO8QMAADQM+ydl79ixw+FI0JCZ+QOd0Zk+BQAAADgt3OkAQsXKlSt98pzY2FiNGTNGY8aMqdfn+vfvX3WS/lBOP/10nX766YcbHuAzyV7F6Jw+BwAAAELFTz/9JEm6/PLL63T/n//8Z91///367bff/BkWGqj01Dit2pZf9TpjN8XoCLzcYrMY3b/FHOa6SV4x6yYAAAANwaWXXqply5bpjTfeOKImZMChmPmDmV80Rl6d0Zk+BQAAAAQUndEB+IW5acsoNAAAACB05OfvKwxu0aJFne5PTU2VJJWV8d/9qL90ozN6Jp3R4QDzEL2/izkS6YwOAADQII0ZM0Zdu3bVc889p3//+9+qrKx0OiQ0QDmFnvmDmV80Rkkx5FgAAACAk+iMDsAvzNPnZocxAAAAAMErJSVFO3bsUEZGhrp3717r/WvWrJF0oCgdqI+0FKMYPYtidASeeYjeLGTwNSbKAQAANExvvfWWRowYoQceeEC33nqr7r//fvXo0UOpqamKiKj5wKNlWZo8eXIAI0UoM/MXOqNLyXFMnwIAAACcRDE6AL9INk7g53L6HAAAAAgZp556qmbMmKFXX31VL7/8cq33P/3007IsS7179w5AdGho0pt5FqNv3lOkikq3wsMY6IfAMdctzEP2vlbduolt27Isy6/fCwAAAP+6/vrrq/6bzrZt7dmzR/Pnzz/kZ/b/dyDF6KirPKMJmJlfNEbeU7vZmwYAAAACiWJ0AH7h1Rm9qExuty2Xi01VAAAAINhdd911mj59uiZOnKhOnTrptttuq/a+kpISjR07Vh999JEsy9LVV18d4EjREKQbndEr3LZ+zylWWmpcDZ8AfM8sRk+O828xR2KM57pJhdtWQWmFmkTT0RAAACCUtWnThgOG8DuzM3oindGVFMP0KQAAAMBJFKMD8Avz9LnblvaWVnhttgIAAAAIPueff74uvfRSvfvuu7r99tv1/PPPq0ePHlXv33fffcrIyNBnn32mPXv2SJIGDx6sCy64wKmQEcKS4yKVGBPh0dktI7uQYnQETFmFWwWlFR7XzEIGX6uu2D23qJxidAAAgBCXmZnpdAho4ErKK1VS7va4Rmd0pk8BAAAATqMYHYBfJFdzAj+3qIxidAAAACBETJ48WeHh4Zo6daoyMjKUmZlZtYH3j3/8Q9K+UeLSvkL0//3vf47FitCXnhqnZVtyq15n7C7Umcc5Fw8aF3PEveR9yN7X4iLDFBFmqbzSrrqWW1Su1k39+rUAAAAAQpw51Umqfl+2sTGndjN9CgAAAAgsl9MBAGiYYiLCFBnu+a+YnGoWRwAAAAAEp8jISL355puaP3++LrnkEjVr1ky2bVf9iY+P1/nnn6/p06frk08+UXx8vNMhI4SlG13QM7MLHYoEjVF149vNQgZfsyxLiTGeBe85jJEHAAAAUAszb7AsUXCt6nO46gr3AQAAAPgHndEB+IVlWUqKidCuvaVV16rb3AUAAAAQ3Pr376/+/ftLkgoKCpSfn6/Y2FglJSU5GhcalrQUz2L0jCyK0RE45uH5+KhwRYT5v4dHcmyEsgoOrJtQjA4AABD65s+ff9ifHTBggA8jQUNl5g2JMREKc1kORRM84qPCFe6yVOFm+hQAAADgBIrRAfhNcmykUYzO6XMAAAAgFEyZMkWSNHz4cLlcBwoy4+Pjq+2AXlhYqGeeeUY5OTl67rnnAhYnGo70ZhSjwznm4Xl/d0XfLznWszN6XjHrJgAAAKHu7LPPlmXVvzDYsixVVFT4ISI0NHnGfquZVzRWlmUpKTaSA78AAACAQ/zf4gdAo2Vu3pLwAwAAAKFh5MiRuvbaa1VSUlKn+8vKyvTggw9q0qRJ/g0MDVa60Rl9W26xSisqHYoGjY15eD5QxRyJ5rpJIcXoAAAADYFt23X+I0kul+uwCtjROJmTnRJjAnOYNhSwNw0AAAA4h87oAPzGTPjpjA4AAACEDtu267QZXlFRoQ8++ECSVF7Of/Pj8KSlxnq8dtvSlj1FOrZ5E4ciQmNiFigErjM6hRIAAAANzYIFCw75fnFxsbKzs7V48WJNmTJFERER+vDDD3XGGWcEKEKEOjNvMPOKxsz8XTB9CgAAAAgcitEB+I3ZScwcew0AAADAWW63W3/4wx/0008/eVzfX4QeHx9f52dZlqWuXbv6ND40Hk2iI5QaH6msggN548bdhRSjIyByjQKFpAB1RjfXTSiUAAAACH39+vWr031XXnmlxowZoz59+uiiiy7S8uXL1bp1az9Hh4bAzBsCNdkpFJi5HNOnAAAAgMBxOR0AgIbLK+GnMzoAAAAQVFwul1599VVZllWvMeLV/YmLi9M//vEPp38khLD01DiP15nZhQ5FgsbGPDwfqM6CiXRGBwAAaNSOPfZYPfzww8rNzdUTTzzhdDgIETmFnnmDmVc0Zkkx5FgAAACAU+iMDsBvzLHWZqcxAAAAAM7r0aOHZs+ere3bt1ddu+aaa2RZll5++WVFRUXV+FnLshQeHq6UlBT17NlTKSkpgQgZDVRaSpx+yMypep2RVeRgNGhMzG55ZgGDv5gdDDnEDwAA0PgMGjRIkjRnzhyHI0GoMPMGOqMfkBzH9CkAAADAKQErRl+9erXmzJmjJUuWaM2aNfr9999VWFgoy7IUHx+vNm3aqFOnTjr99NN17rnnqmPHjoEKDYCfmJ3EzE5jAAAAAILDueee6/H6mmuukSQNHz5csbGxToSERijN6IyekVXgUCRobHKLPdcrzElv/mKum+SxbgIAANDouFz7Bpnv2LHD4UgQKvKKnZnsFArMRml0RgcAAAACx6/F6MXFxXr99df1yiuvaPXq1VXXbdv2uC83N1e5ublauXKl3n//fUnSySefrJtvvlkjRoxQWFiYP8ME4Cfm5i0JPwAAABAaFixYIEmKiYlxOBI0Ju2MYvRMOqMjQHLNzoJxgSnmSIyhMzoAAEBj9+GHH0qSmjZt6mwgCBlm3pBIZ/QqSeRYAAAAgGP8UoxeUVGhCRMm6KmnnlJWVlZV8XlUVJQ6deqkTp06qWnTpkpMTFRlZaWysrKUlZWlTZs26ZdffpHb7daPP/6o6667Tg8//LDuueceXXPNNYqI4FQvEErMsdbm5i4AAACA4NSvX79qrxcUFCgvL0+pqamKiooKcFRo6MzO6DvyS1RUVqHYyIAN9kMjZR6eNwsY/MUses8vKVel21aYywrI9wMAAMD33G53rfeUl5crKytLH3zwge655x5ZllVjHg6YzEnUdEY/gOlTAAAAgHN8vpv31Vdf6aabbtLatWtl27a6du2qiy++WOeff7569OhRNWqsJnv37tW3336rhQsX6q233lJmZqb++te/asKECZo0aZJOOeUUX4cMwE+S4zw3b/eWVKii0q3wsEP/ewAAAABA8Jg+fbr+97//6fPPP9fevXurrjdv3lyDBw/W1Vdfrb59+zoYIRqKtJQ4r2uZWUU6vlWCA9GgMTEPz5uj3f0l2ehgaNtSfnG513oKAAAAQkd9m6vZtq2wsDDdcccdfooIDYlt296TneiMXsV7ajeN0gAAAIBA8WlF6NixYzVgwAD99ttvuuKKK/TDDz9o2bJlGj9+vE4++eRaC9ElqUmTJjr33HP1+OOPa9OmTZo1a5YuvPBC/frrr+rTp4/uvfdeX4YMwI+q27zNLSbpBwAAAEJBVlaW+vXrp0suuUQzZsxQfn6+bNuu+rNz50698cYb6t+/v0aOHKnS0lKnQ0aIi4kM01GJ0R7XMrMLHYoGjUVxWaVKKzy7VwaqmCMxxnvdxOzSDgAAgNBycN5clz8JCQl6/fXXdfLJJzsdOkJAQWmFKty2x7Xq8orGytyb3j99CgAAAID/+bQz+tNPP60hQ4boySefVOfOnY/4eZZl6fzzz9f555+vZcuWaezYsXryySf1+OOP+yBaAP5W3Vjr3KJypcZHORANAAAAgLoqKSnRwIED9fPPP8u2baWnp2vw4MHq0KGDYmNjVVBQoLVr12rWrFnasmWL3nzzTZWUlOidd95xOnSEuLSUOG3PK6l6nZFFMTr8q7ri70B1Ro+OCFNMRJiKyysPiodD/AAAAKHsgQceqPWesLAwxcXF6dhjj9WZZ56p+Pj4AESGhsDsii55T6puzJg+BQAAADjHp8Xon332mc466yxfPrJK9+7dNW/ePH322Wd+eT4A34sMdykuMkyFZQc2VXPp8AUAAAAEvddee01Lly6Vy+XSP//5T40ZM0aWZXnd53a79fjjj+v+++/X+++/ryuvvFIXXHCBX2JauXKlnnrqKS1YsEC7du1SSkqKevbsqb/97W8aOHDgYT+3tLRUr7zyit577z39+uuvKigoUKtWrXTWWWdp7Nix6tixow9/CtQmLTVO327MrnpNMTr8zSzmcFlSQnTgOgsmx0aoOO/AukleMesmAAAAoawuxehOmDNnjl577TUtWbJEu3fvVlRUlI499lgNHjxYo0aNUrNmzQ7rueTUgWXmLxFhluIiwxyKJvhUd7A4p6iMYnQAAAAgAFy+fJi/CtEPds455/j9OwD4TpJxAp0OXwAAAEDwmzx5sizL0h133KHbb7+92kJ0SXK5XBo/frz+9re/ybZt/fvf//ZLPB999JFOPvlkvfXWW9q6davKy8u1Y8cOzZw5U+eff75GjRp1WM/NzMxUt27dNHr0aC1evFh79uxRWVmZMjMz9dprr6l79+765JNPfPzT4FDapcZ5vM6kGB1+Zh6aT4yJkMtV/b/z/CHRXDcpZN0EAAAAvlNRUaHhw4dr0KBBmjZtmrZu3aqysjLt3btXP//8sx599FGdeOKJ+vbbb+v9bHLqwDMnOyXGRNa4ZtMYRUeEKTrCswSGvWkAAAAgMHxajD516lSVlpb68pEAQpx5Ap3O6AAAAEDwW79+vSTpL3/5S53uv+WWWyRJy5Yt83ksS5cu1WWXXaby8nKdcsopWrhwobKysvTDDz/owgsvlCS98MILeumll+r13KKiIp199tlau3atoqKi9Pjjj2v9+vXauXOnpk6dqpYtW6q4uFiXX365Nm/e7POfC9VLM4vRsylGh3+ZhQnmoXp/SzbWTcziEgAAAISuiooKzZgxQ6NHj9af/vQnnXvuuRo6dKhGjx6t9957TyUlJX6P4Z577tHUqVMlSRdeeKG++eYbZWVlacWKFXriiScUGxurXbt2aciQIdq6dWudn0tO7QwzXzDzCUjJRk7H9CkAAAAgMMJ9+bARI0bo1ltv1ZVXXqlrr71WPXr08OXjAYQgM+E3x8cBAAAACF4JCQl1um//OO/CQt8XDo8fP14lJSVq37695s+fr/j4eElSSkqKZsyYoWHDhmnGjBm6//77NWLEiDrH/Mgjj2jDhg1yuVz68MMPNXDgwKr3rrjiCh1//PHq2bOnCgsL9eKLL+qpp57y+c8Gb+mpsR6vswrKlF9SroRoNtjhH7lGYUJ1Y939ybtQgnUTAACAhuDTTz/VX/7yF/3+++/Vvv/CCy+oefPmev3113X++ef7JYZt27ZpwoQJkqQrr7xSb731VtV7KSkp6tKliwYMGKA+ffpoz549euKJJ/Tiiy/W6dnk1M4w8wUzn8C+A8bb8w4c9GD6FAAAABAYPu2MLkm5ubn697//rZ49e+rkk0/WK6+8ory8PF9/DYAQYW7i0uELAAAACH49e/aUJM2dO7dO9y9ZskSSfH4ofc2aNZozZ44kady4cVWF6PtZlqVnn31WlmVpz549mjZtWp2eW1ZWpokTJ0qSrrvuOo9N8/26d++us846Sy6XSz/99NMR/iSoq9ZNY+UyJoxnZtEdHf5jHpoPdDFHIusmAAAADc7bb7+twYMH6/fff5dt24qKitIJJ5ygXr16qVOnToqIiJBt29q5c6eGDBmid9991y9xfPjhh6qoqJAkPfbYY9Xe06tXL11wwQWSpFmzZtXpueTUzjELq818AlJSDDkWAAAA4ASfFqPPmDFDQ4cOrUqgf/75Z/3tb39Tq1atdPXVV+vLL7/05dcBCAFmMXouHb4AAACAoHfvvffKsizdeeedWrt27SHvzcvL09ixY6vu96X9heiWZVVtjpvS0tLUtWtXSdJHH31Up+d+9tln2rNnjyTprrvuqvG+jz76SOXl5friiy/qEzaOQFR4mI5OjvG4lkExOvwop9DojB4T6M7oZqEE6yYAAACh7Pfff9d1110nt9uttLQ0TZ8+Xfn5+VqxYoW+/fZbrVq1Snv37tX777+v9u3by7Zt3XDDDdq6davPY9m2bZtiYmLUokULtW3btsb7jj322Kr764Kc2jlmYbWZT0BKjvP8nTB9CgAAAAgMnxajX3jhhZo2bZq2bdum559/Xqeccops21ZxcbHeeustDRgwQB07dtRTTz2lHTt2+PKrAQQps6NYLqfPAQAAgKDXv39/TZw4Ubm5uTrllFP06KOPat26dR73ZGVl6c0339TJJ5+sNWvW6Morr9QJJ5ygjRs3VvvncCxbtkySdMwxx6h58+Y13re/I3tdu619//33Vc/t0KGDx3vl5Qc2KaOjo+Vy+XyoHGqRlhLn8ZpidPiTeWg+KcCd0c11kzyK0QEAAELas88+q5KSErVr107fffedLrroIoWHh3vcExERoWHDhmnJkiVq3769CgsL9Z///MfnsTz66KMqKirSb7/9dsj79uf7ycnJdXouObVzzMLqQE92CgVmTkdndAAAACAw/JL9NW3aVLfccou+++47rV69WmPHjtXRRx8t27a1fv16jRs3Tm3atNHQoUM1c+ZMud1uf4QBIAh4JfyFbKoCAAAAwa5Vq1YaP368XC6XCgoK9MADD6hTp05VHdUSExPVokULjRw5UhkZGZKkqVOnqkOHDtX+6dix42HFsWnTJkn7up8fyv4Ob1u3bvXY+K7JL7/8IklVm+bffPON/vSnPykpKUmRkZFKTU3V8OHDa+0KD/9ol+pZjJ5JMTr8yDw0H+jOgomMkAcAAGhQ5s2bJ8uy9Oijjyo1NfWQ96akpOiRRx6Rbdv6+OOP/RZTQkJCje9t2bJFs2fPliT16dOnTs8jp3aOmS8k0hndizntiulTAAAAQGCE137LkenUqZP+8Y9/6IknntAXX3yhSZMm6cMPP1RRUZE+/vhjffzxx2rZsqWuueYaXXPNNWrfvr2/QwIQQGbCb3YcAwAAABB8zGlmtm1LkkpLS7V79+6AxZGVlSWp9u5siYmJkvbFmZeXV+uG//bt2yXt2/j/xz/+ofvuu8/joHx2dramTp2q6dOn63//+58uuuiiesf++++/1ykGeEszitEzsoscigSNgVmYkBTgYg7viXKsmwAAAISy/YeqzzzzzDrdv/++/Qe9A8ntdusvf/mLysr2FTjffPPNdfqcv3Nq8umamfkLndG9MX0KAAAAcIbfi9H3syxLZ599ts4++2wVFBTogw8+0OTJk/XVV19p+/bteuKJJ/TEE0+oX79+uv766zVs2DBFRUUFKjwAfpIcZxSj0+ELAAAACHpvvPGG0yFIkkpKSiRJMTExh7zv4PeLi4trfe7evXslSYsWLdIHH3ygE088UU899ZT69eunsrIyzZo1S3fccYd27typyy+/XN999526du1ar9hbt25dr/txgFcx+u4C2bYty7IciggNmblOYU548zfWTQAAABqW/Ye566uiosLHkdRuzJgxmjt3riTpsssu01lnnVWnz/k7pyafrlmew5OdQoF5wJjpUwAAAEBgBKwY/WDx8fEaOXKkRo4cqc2bN2vKlCl6//33tXLlSi1cuFBffvmlbr31VmVnZzsRHgAfMjdxSfgBAACA4Hf11Vc7HYIkKSwsTJJqLUI+eLPf5XLV+tyion2dtnfs2KHOnTtr8eLFatKkiSQpNjZWV155pXr27KmTTz5ZhYWFuvfeezVz5szD/TFQT+2MYvT8kgrlFJWraRwd3+B7ZifyQHcWTIzx/L7CskqVVbgVGV77v8sAAAAQfNq2batff/1VX375pf785z/Xev/ChQslSW3atPFzZAfYtq0xY8bo+eeflyR16dJF//nPf+r8eXJq55id0c18At5700yfAgAAAALD8V2NNm3aaPz48Vq+fLmWLl2qnj17yrZt5ebmOh0aAB9IivE8fV5S7lZJeaVD0QAAAAAIJfHx8ZJq73a+v4O6JEVHR9f63NjY2Kq/P/roo1Wb5gc77rjjdO2110qSPv3006rOb3W1ZcuWQ/75/vvv6/W8xuTopBiFuzwPIGRkFToUDRoy27aVW+xZmGB20fO36joZ0h0dAAAgdJ1zzjmybVvjx4+vdb97z549Gj9+vCzL0jnnnBOQ+EpLSzV8+HBNmDBBktS5c2fNmzevKv+uC3/n1OTT1at028ovMQ7TxtEZ3WTmWORXAAAAQGA4XoxeUFCgN998UxdeeKFOO+00/fTTT5Jq73oGIDRU11GME+gAAABAaPnhhx/03HPP6fbbb9f1119fdX3atGnasmWL3743MTFRkpSXl3fI+/Zv8LtcLiUnJ9f63IM3ys8888wa7zvjjDMk7RuXvm7dulqfe7BjjjnmkH+OOuqoej2vMQkPc6lN01iPa5kUo8MP9pZWqNJte1wLdDF6Ykw1xejFrJsAAACEqttuu03R0dHasGGDevfurZkzZ6qy0rNJU2VlpT7++GOdeuqp2rBhgyIjIzV69Gi/x5aVlaWzzjpL//vf/yRJJ598sr788ku1bNmyXs/xd05NPl29/OJy2Z7pS8AnO4UCszP6/ulTAAAAAPzLkWL0iooKffLJJ7rsssvUokULjRw5Up988olKSkrUpk0bPfDAA9q4caMToQHwsYSYCJlnS3I4gQ4AAACEhG+//VY9evTQH/7wB915552aMGGC3njjjar377vvPnXo0EH333+/bHNH1Ac6duwoSdq8efMh79v/fuvWreVy1b7UkZ6eXvX3mJiYGu/bXwwv1d6dHb6Vnhrn8ZrO6PCH3ELvou9AF3OEh7nUJDrc41pOIesmAAAAoSo9PV0vvPCCJGn9+vW68MILlZCQoG7duqlPnz7q1q2bEhISNHTo0KoC7ZdeeklpaWl+jWvdunU69dRT9c0330iSBg4cqIULF6pZs2b1fhY5tTOq21+t7nBrY1fdAWO6owMAAAD+F9Bi9EWLFumvf/2rWrZsqYsuukjvv/++iouLFRkZqUsvvVTz5s3Txo0b9cADD6hNmzaBDA2An4S5LCVEm+PQ6PAFAAAABLvp06erf//+WrFihWzblsvl8io437Rpk8rKyvTYY4/pr3/9q89j6Nq1qyQpMzPzkOPNly5dKknq3r17nZ578H0bNmyo8b6dO3dW/f3oo4+u07PhG2lmMXo2xejwPbOYIyLMUmxkWMDjMAvgc1g3AQAACGnXXXed3nvvPbVq1Uq2bau4uFgrV67Ut99+q5UrV6q4uFi2beuoo47StGnTdO211/o1nhUrVui0007T+vXrJUk33HCDPvnkE8XHxx/W88ipnWHmCTERYYqOCHz+EuySmD4FAAAAOMLvxeirV6/Wfffdp/T0dPXr108TJ07Unj17ZNu2unbtqueff17btm3T22+/rbPPPluW2UIZQMhLjjWL0Tl9DgAAAASz33//XSNGjFB5ebl69eqlzz//XNu2bfO674svvtAf/vAH2bat//znP5o/f75P4xg0aJAkye12a9asWdXes3HjRq1cuVLSvs5udTF48OCqv7/77rs13jdv3jxJUqtWrTg0H2BmMXomndHhB2ZBQlJspCNrk+a6SV4x6yYAAAChbtiwYdqwYYOmT5+u2267TX/605909tln66KLLtJtt92mDz74QJmZmRo6dKhf41i/fr3OOeccZWVlSZIeeeQRTZw4UeHh4bV8smbk1M4w8wQzj8A+TJ8CAAAAnHH4WeYhbN26VW+//bamTp2qFStWSFJV97SkpCRdccUVuu6669SjRw9/fD2AIJMUGyllF1W9psMXAAAAENyeeeYZFRcXq1evXvryyy8VGRmpwkLvYuDTTjtN8+fP14ABA/Tdd9/plVde0YABA3wWR3p6uk4//XQtWrRIDz30kIYMGeIx5tu2bd1xxx2ybVupqakaMWJEnZ57/PHHq0+fPvrmm2/07LPP6vLLL1fnzp097lmyZIneeecdSdJVV10llyugw+UavXZmZ/SsQtm2TRMD+JR5WN6pYo5EOqMDAAA0SJGRkbrooot00UUXeVzfPzk8LMy/Xa3Lysp06aWXateuXZKk5557TqNHjz7i55JTOyOn0DNPMPMIHJAUG6G9JRVVr8mxAAAAAP/zadb32muvacCAAWrbtq3uvvvuqlHekjRgwABNnTpV27dv14svvkghOtCIJJmd0enwBQAAAAS1uXPnyrIsPfjgg4qMPPTmZnR0tB588EHZtq1vv/3W57E899xzcrlcWrdunfr27at58+YpKytLS5cu1dChQ/Xhhx9Kkh588EHFxXkWMHfq1EmdOnXSVVdd5fXcV155RdHR0SosLFSfPn300ksvafPmzdq2bZtefvllnXfeeSovL1fbtm117733+vznwqGZndGLyiq1e2+pQ9GgoTK74yXFOFPMYRbB5zBRDgAAIOT9+uuvuu666zR27Fiv99555x0lJibq6quvVkZGht9imDhxopYuXSpJuuSSS3T99deroKDgkH8ORk4dXMw8gc7oNUs2CvWZPgUAAAD4n087o99www2yLKuqAL1169YaOXKkrrnmGqWlpfnyqwCEEDPhz+X0OQAAABDUNm/eLEnq2bNnne7ff+B89+7dPo+lZ8+eeu2113TDDTdo5cqVOu+887zuuf322/W3v/3N6/ratWslSS1btvR678QTT9ScOXM0bNgw7dmzR7fccotuueUWj3vS0tL08ccfq0mTJj76aVBXRyVEKyrcpdIKd9W1jKxCNU+IdjAqNDS5xZ7rE+Zh+kDxKpRg3QQAACCkvfPOO7rmmmtUVlam3r17e72/YcMGFRUV6a233tKMGTP04Ycf+nTK2H4TJkyo+vv777+v999/v9bP7N/nl8ipg02ekb+YeQQOSIwxD/ySYwEAAAD+5vN5WBEREbrkkks0d+5cZWZm6qGHHqIQHWjkzM1cs/MYAAAAgOASHr7v7Hp5ed0264qKiiRJMTExfoln5MiRWrp0qUaMGKFjjjlGERERSk5O1jnnnKMZM2bomWeeOazn9u/fX7/99pvuu+8+denSRXFxcUpISFD37t312GOPaenSperSpYuPfxrUhctlKS3Fszt6RlahQ9GgoTIPyztVzOFdKMG6CQAAQKhas2aNRo4cqdLSUiUkJOj000/3uufiiy/WXXfdpeTkZBUUFOjiiy/W1q1bfRpHdna21q9f79NnmsipA8vMExLpjF4jM7cjxwIAAAD8z6ed0f/1r39p+PDhatq0qS8fCyDEmWOuzc5jAAAAAIJLu3bttGLFCi1cuFCXX355rffPnDmz6nP+0qVLF02ZMqVenzm4o1tNUlJS9Oijj+rRRx893NDgJ2mpsVq7c2/V64xsitHhW2ZBgnOd0enaBwAA0FA8/fTTKisrU4cOHfTZZ5+pTZs2Xvd0795d3bt316hRozRgwACtX79ezzzzjJ599lmfxZGSklKnnPhQyKmDi5knmHkEDjB/N0yfAgAAAPzPp53RR40aVedC9Pz8fP3+++++/HoAQSo5zjPhz+X0OQAAABDUhgwZItu29fe//125ubmHvHfDhg168MEHZVmWBg0aFJgA0SikpXp2Rs+kMzp8zOyMnuRQZ/TkOM/vpVACAAAgdC1YsECWZemf//xntYXoBzv66KP1+OOPy7ZtzZo1K0ARIlSZeYJTk51CQSKd0QEAAICA82kxem0++ugjDR48WMnJyUpOTlZaWlrVe+eee65uvvlm7dixI5AhAQgAczOXDl8AAABAcBszZoySk5OVkZGhnj17asqUKVq7dm3V++Xl5frtt9/0z3/+U7169VJ2drbi4+M1atQoB6NGQ9POKEbPoBgdPmYelneqs2BijNkZnUIJAACAULVt2zZJ0qmnnlqn+/fft3nzZr/FhIbBzBPMPAIHMH0KAAAACLzwQHxJQUGBLr/8cs2ePVtS9SO9VqxYoS+++ELTp0/XrFmzdPLJJwciNAABkBRjdkYn4QcAAACCWdOmTfXBBx9oyJAh2rhxo6655hpJkmVZkqTo6Oiqe23bVnh4uKZOnapmzZo5Ei8aprQUz2L0TdlFcrttuVyWQxGhoTELEpIcKkY3OxrmFpXLtu2qf+cCAAAgdCQmJiorK0sFBQV1ypHdbrckKSoqyt+hIcSZ+6t0Rq+Z+bth+hQAAADgfwHpjD5s2DDNnj1btm2rT58+uvPOO73u6datm2zb1q5du/THP/5ReXl5gQgNQAB4b6qWVXsoBQAAAEDwOPPMM/Xdd9+pb9++sm27xj/dunXTl19+qSFDhjgdMhqYdKMzemmFW9vzSxyKBg2R2RndnOwWKOa6SVmlW8XllY7EAgAAgCPToUMHSdKMGTPqdP/HH3/s8TmgJl6TneLojF6TRK/O6EyfAgAAAPzN753R33nnHX322WeKiorSu+++qz/+8Y8qLCzU008/7XHfp59+qhkzZujKK6/Ujh079MILL2j8+PH+Dg9AAJidxSrctgpKK9QkmkUSAAAAIJideOKJ+vLLL7VmzRotXLhQGzZsUH5+vmJjY9WmTRv17dtXp5xyitNhooFq1iRKcZFhKiw7UJSbsbtQRyfFOBgVGoqKSrfySyo8rjnVWdAslJD2dW2PjQzIUEsAAAD40GWXXabFixfroYceUp8+fdS7d+8a712+fLn+/ve/y7IsDR06NIBRItSUVbg9cmNJSoyhM3pNmD4FAAAABJ7fdzQmT54sy7J0zz336I9//OMh7x06dKjuvfde3X///froo48oRgcaiOrGXOcWlVOMDgAAAISIzp07q3Pnzh7XSkpKFBHBf9PDfyzLUlpqnFZty6+6lpFdqNM7pDoYFRqKvGLvMe3VrV8EQkJ0uMJclirdB6bI5RSWcfACAAAgBI0cOVL/+te/tHHjRp1xxhm64oorNHjwYHXo0EGxsbEqKirShg0bNHfuXL355psqLS3V0UcfrVGjRjkdOoKY2RVdkpIdyl9Cgfm72T99igO/AAAAgP+4/P0FP/30kyTp8ssvr9P9f/7znyVJv/32m99iAhBY8VHhCnd5njTPLfLe9AUAAAAQXH799Vddd911uuuuu7zee/vtt5WYmKirr75aGRkZDkSHxiAtNc7jdWZWoUORoKHJDaJidMuylBTj+d3VFcsDAAAg+MXHx2vGjBlq0aKFysvLNWXKFF166aU66aST1KlTJ5100km65JJL9Nprr6m0tFTNmzfXzJkzFR8f73ToCGLV5S+JMRSj1ySpmq7xOexNAwAAAH7l92L0/Px93atatGhRp/tTU/d1tyor8z7dCyA0WZalJHMcWjH/GwcAAACC2TvvvKMePXpo0qRJ+uabb7ze37Bhg4qKivTWW2+pW7dumj9/vgNRoqFrZxSjZ1CMDh8xOwvGRoYpKjzMoWikRKMQPqeazocAAAAIDV26dNGvv/6qW2+9Vc2bN5dt215/4uLidNNNN2n58uXq1q2b0yEjyOUUeuYHTaLDFR7m91KPkNUkOlxGn7Rqu8sDAAAA8B2/zyFKSUnRjh07lJGRoe7du9d6/5o1ayQdKEoH0DAkxUYoq6C06jWnzwEAAIDgtWbNGo0cOVJlZWVKTEzU6aef7nXPxRdfrPLycr322mvas2ePLr74Yq1cuVJHH320AxGjoUpLoTM6/COn0HNdwuxMHmjJsZGSDvzzzboJAABAaEtMTNSECRM0YcIErVy5Ulu3btWePXsUGxurNm3aqFu3bgoLc+4wJEKLmR8kx3p3/sYBLte+Rml7DiriZ2o3AAAA4F9+Py576qmnSpJeffXVOt3/9NNPy7Is9e7d259hAQiwZKPDF6fPAQAAgOD19NNPq6ysTB06dNDy5cv11FNPed3TvXt3Pfnkk1q+fLk6dOigvLw8PfPMMw5Ei4YszeiMvnlPkSoq3Q5Fg4bEHHNvTnQLNHPdJI91EwAAgAajS5cuGjhwoK644gpddNFFOumkkyhER73kGROnzfwB3swDx0yfAgAAAPzL78Xo1113nWzb1sSJEzVhwoQa7yspKdGoUaP00UcfSZKuvvpqf4cGIIDMTV1OnwMAAADBa8GCBbIsS//85z/Vpk2bQ9579NFH6/HHH5dt25o1a1aAIkRj0c4oRq9w2/o9p9ihaNCQmIfkk+OcLeZIjPFcN6EzOgAAAID9zPwgkc7otUryapRGjgUAAAD4k9+L0c8//3xdeumlsm1bt99+u9q3b+9RaH7ffffpiiuuUOvWrfXSSy9JkgYPHqwLLrjA36EBCCBOnwMAAAChY9u2bZIOTDurzf77Nm/e7LeY0Dglx0Uq0cgnM7ILHYoGDYm5LpEUE1yd0Vk3AQAAALCfmR/QGb12yV6N0sixAAAAAH8KD8SXTJ48WeHh4Zo6daoyMjKUmZkpy7IkSf/4xz8kSbZtS9pXiP6///0vEGEBCKDkODqjAwAAAKEiMTFRWVlZKigoULNmzWq93+12S5KioqL8HRoaobTUOC3fklv1OjOrUDrOuXjQMJjrEmbXvEAz103yWDcBAAAA8P/M/MAstIa3RK8Dv+RYAAAAgD/5vTO6JEVGRurNN9/U/Pnzdckll6hZs2aybbvqT3x8vM4//3xNnz5dn3zyieLj4wMRFoAA8h6FxulzAAAAIFh16NBBkjRjxow63f/xxx97fA7wpXapcR6vM7LojI4jZxajO13MYU4AoDM6AAAAgP3M/MDMH+DNuzM6xegAAACAPwWkM/p+/fv3V//+/SVJBQUFys/PV2xsrJKSkgIZBgAHmOOuOX0OAAAABK/LLrtMixcv1kMPPaQ+ffqod+/eNd67fPly/f3vf5dlWRo6dGgAo0RjkZZCMTp8zyzmcLwzOoUSAAAAAGpg7qsmO5y/hALzd0SjNAAAAMC/AlqMfrD4+Hg6oAONCAk/AAAAEDpGjhypf/3rX9q4caPOOOMMXXHFFRo8eLA6dOig2NhYFRUVacOGDZo7d67efPNNlZaW6uijj9aoUaOcDh0NUFpqrMfrzGyK0XHkzGLvJIc7o3utmxRTjA4AAABgnzyzGD3O2fwlFCTGmo3S2JsGAAAA/Mmnxeh///vfNW7cOMXGxtZ+82HIz8/XE088oSeeeMIvzwfgP+amLpuqAAAAQPCKj4/XjBkzdO6552rnzp2aMmWKpkyZUu29tm2refPmmjlzJofO4RfpqZ6d0bfmFKu0olJR4WEORYSGwDwk73RnwcRqDvG73bZcLsuhiAAAAAAEC7OQOjGGzui14cAvAAAAEFguXz7sscceU8eOHfXf//5XbrfbZ8+tqKjQhAkT1L59ez311FM+ey6AwDHHXecVl6vSbTsUDQAAAIDadOnSRb/++qtuvfVWNW/eXLZte/2Ji4vTTTfdpOXLl6tbt25Oh4wGKs0oRnfb0pY9RQ5Fg4bCHHNvrlsEWrJxiN9tS3tLKhyKBgAAAECwsG3ba7KTmT/Am/k7Mn+HAAAAAHzLp8XoM2fOVEVFhW688UZ17NhRzz77rLKysg77eWvXrtXYsWN1zDHH6Pbbb1dMTIzmzJnjw4gBBIqZ8Nu2lM8JdAAAACCoJSYmasKECdq+fbuWL1+u2bNn66233tL06dP1448/KicnR//+97/VokULp0NFA5YQHaHUeM+cMiOLYnQcvpLyShWXV3pcMye6BVp1xfC5xYyRBwAAABq74vJKlVV6NgKkGL12Zvf4/dOnAAAAAPhHuC8fNmjQIK1atUpjx47VpEmTdNddd+nee+9V3759NXDgQP3hD3/QCSecoKSkpGo/n5OTo2+++UaLFi3SwoUL9cMPP1S9N3LkSD333HNKSEjwZcgAAqT6TdVyJcexWAIAAACEgi5duqhLly5Vr7Ozs7Vz5061atXKwajQWKSlxCmr4EBhbkZWgSQOQeDw5FVzON7pYo6YiDBFhrtUVnGgyCSnqFxtUxwMCgAAAIfFtm1NmTJF06dPV0ZGhoqKimqdKm5ZljZs2BCgCBFKzKlOkpTo8GSnUGDuQbttaW9phVeROgAAAADf8GkxuiSlpKTotdde080336wHHnhAs2fP1hdffKH58+dX3ZOamqqmTZsqISFBbrdbWVlZys7OVmFhYdU9tm3L5XLp0ksv1X333afjjz/e16ECCKDoiDBFR7hUUn7wpmqZ0hV3iE8BAAAAcNL8+fP12GOPqU2bNnrjjTc83ps2bZr++te/6vTTT9dTTz2l3r17OxQlGoP01Dj9uCmn6jWd0XEkcoq8O44nRPt8mbReLMtScmyEduaXVl2rLk4AAAAEt8rKSg0ZMkTz5s2TtG/Puy4sy/JnWAhhOYWeeUGYy3I8fwkFydU1SisqoxgdAAAA8BO/ZSknn3yyZs6cqdWrV+uVV17RBx98oB07dkiSdu/erd27d9f42aOOOkqXXXaZbrrpJnXo0MFfIQIIsOTYSG3PK6l6ncumKgAAABC0nnnmGY0dO1aSdNJJJ3m9v2HDBtm2rUWLFqlv376aNGmSrrjiikCHiUYiLdXzIHNmVmENdwK1yzU6CyZEhys8zOVQNAckxUR6FKPnVdMBEQAAAMHtv//9rz799FNJUkxMjE455RQ1b95cUVFRDkeGUGVOdkqKieDwQh3ERIQpMsylskqmTwEAAACB4Pcjs8cff7yef/55Pf/881q6dKm+++47rVmzRr///rsKCgpkWZaaNGmi1q1bq3PnzjrttNN04okn+jssAA5I8ipGZ1MVAAAACEbfffedxo4dK9u2lZaWphEjRnjdc8sttygtLU3PPvusNmzYoOuvv14nn3yyjjvuOAciRkOXbhSjZ1CMjiNgHo43x7c7Jcno3EdndAAAgNAzefJkSfsOdc+ZM0fNmjVzOCKEOjMvSKym4ze8WZalpNgI7dp74MAvjdIAAAAA/wno/KaTTjqp2m5qABqHpBhzU5VidAAAACAY/etf/5Jt2+rZs6c+++wzJSYmet3TunVr/fWvf9VVV12lfv366eeff9azzz6rV1991YGI0dCZxeg78ktUXFapmMgwhyJCKDPXI8z1Cqckx3oWxbNuAgAAEHpWrVoly7L09NNPU4gOnzDzAjNvQM2SYyONYnRyLAAAAMBfnJ8/C6DRSI7z3Nzl9DkAAAAQnL7++mtZlqV//OMf1RaiHywuLk6PPfaYbNvWvHnzAhQhGpu0lDiva5nZdEfH4TELEJKCpJjD7Iyex7oJAABAyLFtW5LUrVs3hyNBQ2HmBcFymDYUmF3kmT4FAAAA+A/F6AACxtzc5fQ5AAAAEJx2794tqe6b5z169JAkbd++3W8xoXGLiQxTy4Roj2sZWRSj4/CYh+OTg2TMvbluQmd0AACA0HPsscdKknbs2OFwJGgovCY7Bclh2lBg5nrsTQMAAAD+QzE6gIAxT+pz+hwAAAAITqmpqZKkrKysOt1fUFAgaV+XdMBf0lM9//miGB2Hy1yPCJZiDrNQgnUTAACA0HPppZfKtm298cYbToeCBsLMC4LlMG0oSPZqlEaOBQAAAPgLxegAAsY74ef0OQAAABCMOnfuLEmaOnVqne5/9913JUnHH3+832IC0oxi9EyK0XGYzPWIpCAp5jDjyCtm3QQAACDUjBkzRl27dtVzzz2nf//736qsrHQ6JIS4vCDNX0JBoteBX3IsAAAAwF/CnQ4AQONhLo7kFnP6HAAAAAhGI0aM0Pz58/Xkk0+qW7duGjZsWI33zp49W4888ogsy9Kll14awCjR2KSnxnq8pjM6DpdZjG4enneK2aGdzugAAACh56233tKIESP0wAMP6NZbb9X999+vHj16KDU1VRERNRcRW5alyZMnBzBShIpgnewUCrwapXHgFwAAAPAbitEBBIzXpmohCT8AAAAQjC6//HK9+OKL+umnn/TnP/9Zffv21ZAhQ9ShQwfFxsaqqKhIGzZs0Ny5c/XFF1/Itm0df/zxuvHGG50OHQ1Yemq8x+vMbIrRcXi8izmCo7OgV6EE6yYAAAAh5/rrr5dlWZIk27a1Z88ezZ8//5CfsW2bYnTUKFgP04aCZLNRGgd+AQAAAL+hGB1AwJDwAwAAAKEhMjJSM2bM0KBBg/TLL7/o66+/1tdff13tvbZtq3Pnzpo1a9Yhu7wBR8rsjJ5VUKa9JeVqEs0/d6gfsxtesHQWNIvi95ZWqLzSrYgwl0MRAQAAoL7atGlTVYwO+IJ3/kIOXFeJMUyfAgAAAAKFYnQAAWNu7haWVaqswq3IcDZVAQAAgGBzzDHHaOnSpXrhhRf09ttv66effpJt2x73HHfccbrmmmt06623KiYmxqFI0Vi0bhorlyW5D/rHMDOrSF2OSXQuKIQc27a9Dsebh+edUl1RSV5xuVLjoxyIBgAAAIcjMzPT6RDQgLjd3vkLxeh1590ojelTAAAAgL/4vRj9mWee0RVXXKGjjjrK318FIMhVtziSW1ym5k2iHYgGAAAAQG3Cw8M1ZswYjRkzRvn5+dq2bZv27Nmj2NhYtW7dWikpKU6HiEYkKjxMRyfHaMue4qprG7MKKEZHvRSWVaq80vNgTVJMkHRGryaO3KIyitEBAACARmpvSYXHgWxJSg6SyU6hIDnO83e1t6RCFZVuhTN9CgAAAPA5vxej33XXXbrnnnvUv39/jRgxQn/6058UHx/v768FEISSYqopRi8qpxgdAAAACAEJCQlKSEhwOgw0cmkpcR7F6JlZRQ5Gg1BkdhWUpKS44OgsGBnuUlxkmArLKquu0bkPAAAg9OXk5GjLli0qKChQXFyc2rZtq6SkJKfDQgjILa4mf6Ezep1VuzfN9CkAAADAL/x+5LNJkyaqrKzUF198oWuuuUYtW7bUlVdeqdmzZ6uysrL2BwBoMMLDXGoS7XkGhk1VAAAAoOFYsWKF0yGggUtPjfN4nZld6FAkCFXmOkSYy1KTKL/366izJKPLYQ7rJgAAACHJ7XbrlVdeUbdu3ZSamqoePXqob9++Oumkk5SSkqLjjz9ezz33nNxut9OhIoiZ+UBkuEsxEWEORRN6zPxKYm8aAAAA8Be/77Ts2rVLM2fO1P/+9z/Nnj1bRUVFeuedd/TOO+8oNTVVl112ma688kr16tXL36EACAJJsRHaW1JR9Tqnmo5kAAAAAILDwoULNXfuXGVlZam8vFy27Tkb2u12q6ysTAUFBVq3bp0yMjJUUVFRw9OAI2cWo2/Mohgd9WOuQyTFRMiyLIei8ZYcF6GtuQe6/7NuAgAAEHpycnJ00UUXadGiRV559H6//vqr7rzzTk2fPl0ffvihUlJSAhwlQoGZDyTHBlf+Euyqnz5FjgUAAAD4g9+L0aOiojRs2DANGzZM+fn5mjZtmqZOnaqFCxdq9+7devHFF/Xiiy/q2GOP1YgRI3TFFVeoXbt2/g4LgEOSYyM9RqqT8AMAAADB6dprr9XkyZPrfL9t22yIwu/SzM7oFKOjnswueME24j4pxrNzXx5d+wAAAELOxRdfrK+//lqS1LVrV11yySXq3Lmz4uLilJ+frzVr1mjatGlauXKlFi9erOHDh2vOnDkOR41gZOYDZr6A2iXFRqqw7OADv+RYAAAAgD+4AvllCQkJuuaaa/T555/r999/17PPPquePXvKtm2tW7dODzzwgDp06KA+ffrolVde0Z49ewIZHoAASIzx3ORlFBoAAAAQfGbMmKFJkybJtm3Ztq3ExEQlJyfLtm0lJSWpVatWio6OrnpfkoYMGaK33nrL4cjR0KWneBaj5xWXK6eQQ86oO/NQfHI1Y9udZBbH0xkdAAAgtLzzzjtasGCBLMvSM888o2XLlum+++7Tn/70J5133nm65JJLdP/992v58uV69tlnJUnz5s3Txx9/7HDkCEZek52C7DBtKDB/ZzRKAwAAAPwjoMXoB2vZsqVGjx6t7777Tlu3btXEiRM1ePBgSdKSJUv0t7/9Ta1atdIll1yizz77zKkwAfiYucnL6XMAAAAg+Lz55puSpLZt22rZsmXas2eP3n77bUnSH//4R23ZskWFhYX6+uuv1bVrV9m2rezsbF166aVOho1G4JjkGIW7PDvwb6Q7OurBXIcItmIO1k0AAABC21tvvSXLsnTjjTdqzJgxh7x39OjRuummm2Tbtl5//fUARYhQYuYDwXaYNhSYvzMapQEAAAD+4Vgx+n5FRUVasmSJFi9erO+++06SqjqrlZWVadq0aRo4cKBOPvlk/fTTTw5HC+BIJXP6HAAAAAh6P/zwgyzL0oMPPqiuXbtKkk477TS5XC59/vnnVff16dNHCxYsUNu2bbVkyZKqgnXAX8LDXGrTNNbjWibF6KgHs/AgKciKOczi+Lxi1k0AAABCyf797JtuuqlO9994442SpOXLl/stJoSuPDqjH7FEpk8BAAAAAeFIMXpZWZlmzJihSy+9VM2aNdPFF1+syZMna/fu3YqLi9PVV1+tzz//XPPnz9c111yjmJgY/fzzz+rbt68WL17sRMgAfCSR0+cAAABA0MvOzpa0rwB9v7i4OLVv317btm3T9u3bq64nJydr7Nixsm1bU6dODXisaHzSUuM8XmdmU4yOujMPxZuH5p1mFsfnFLJuAgAAEEr27NkjSWrTpk2d7t9/344dO/wWE0KX92Sn4DpMGwq8GqUVk2MBAAAA/hAeqC9yu9367LPP9Pbbb+vDDz/U3r17Je3rgh4WFqazzz5bI0aM0NChQxUTE1P1uf79++uee+7RGWecoZ07d+ruu+/W119/HaiwAfiYmfBz+hwAAAAIPi7XvrPrqampHtc7duyo9evXa9WqVTrqqKOqrp9zzjmSpBUrVgQuSDRa6UYx+kY6o6MezHWIYCvmYN0EAAAgtCUlJSkrK0ubN29WUlJSrfdv3rxZkpSYmOjnyBCKzHwg2A7ThoJkr0Zp5FgAAACAP/i9M/rXX3+tm2++WS1bttSgQYP05ptvKj8/X7Ztq2vXrnr66ae1ZcsWzZkzR1dccYVHIfp+HTp00F/+8hdJ0s8//+zvkAH4kXfCz+lzAAAAINg0a9ZMkjw6oEtS+/btJUm//PKLx/Xk5GRJBzqqA/7k1RmdYnTUg9kFL9jG3Jvx5NG1DwAAIKScfPLJkqT//Oc/dbp/4sSJkqQePXr4LSaELjMfCLb8JRQkxhgHfpk+BQAAAPiF34vR+/Xrp1dffVVZWVmybVtHHXWU7rzzTq1YsUI///yzbr/9drVs2bLW50RHR0uSmjZt6u+QAfhRotcoNE6fAwAAAMGmV69ekqRp06Z5XD/uuONk27a+/fZbj+vr1q2TJFmWFZgA0ailp3gXo9u27VA0oe29H7eo3z8X6OKXF2v9rr1OhxMQ5qF489C808xO7XRGBwAACC1XXnmlbNvWyy+/rBdffPGQ977wwgt6+eWXZVmWrrzyygBFiFAS7JOdQoFXozQO/AIAAAB+ER6IL4mNjdXQoUM1YsQInX322Ye1Od2lSxe9+OKL6t69u+8DBBAwZsKfU1Qu27YpWgEAAACCyMUXX6z3339fjzzyiCIiInTTTTcpKSlJZ5xxhiTpo48+0g8//KBTTjlFpaWluv/++yVJ7dq1czJsNBLpzTyL0QvLKrV7b6maJ0Q7FFFo2pZbrHHTV6rSbWtTdpEe/Hi13rq+t9Nh+Z1XMUdMcHUWNNdNSsrdKimvVHREmEMRAQAAoD4uv/xyvfzyy1q8eLFuu+02vfHGGxo2bJg6d+6s+Ph4FRQUaM2aNZo2bZqWLVsm27Z16qmnUoyOauUWBvdh2lCQHGc0SuPALwAAAOAXfi9Gnzx5soYNG6bY2Ngjes6QIUN8FBEAJyUbndHLKtwqLq9UbGRAzsYAAAAAqIOLL75YvXr10vfff6/77rtPS5cu1XvvvacTTjhBZ511lr744gv16dNHPXr0UGZmprKysmRZloYOHep06GgEjkqIVlS4S6UV7qprGVmFFKPX04+bclTpPtBR/vuMPap02wpzNdzD4m63Xc2Y++Aq5qiuOD63qFwtEylGBwAACAUul0szZszQoEGD9NNPP+nnn3/WsmXLvO7bP92pZ8+e+vDDD2naBC/llW7tLa3wuJYUG1yHaUNBYgzTpwAAAIBAcPn7C0aMGHHEhegAGo6kGO9NXnNENgAAAABnWZalWbNmadCgQbJtW2lpaVXv/etf/1JycrIqKir0448/avfu3bJtW507d9bdd9/tXNBoNFwuS21TPNeaMrMLHYomdGVmef7Oyird2pZb7FA0gZFfUi7b9rxmdslzWkJMhMw6JIolAAAAQkuzZs20ePFiPf/88+rataukfcXn+/9I0oknnqjnn39e33zzjZo1a+ZkuAhS5kFaiWL0w2E2Sts/fQoAAACAb/m9FfHmzZvrdb9lWQoPD1d0dLSSk5P9FBUApzSJDpfLkg5qvqacojK1SopxLigAAAAAXlJSUjRz5kytWbNGlZUHNulOOOEELVu2TI8++qi+/fZbhYWF6dxzz9W4ceMUHx/vYMRoTNJT4/TbzoKq1xuzKEavr4xqfmcZWYVq3bThNpXIqeYwfHWH5p0U5rKUGBPhcXCfYnQAAIDQExERoVtuuUW33HKLcnJytHXrVuXn5ys+Pl5t2rRRUlKS0yEiyOVWkwcEW/4SCpKrmYbF9CkAAADA9/xejJ6enn7Ynw0PD1fHjh113nnn6Z577lFqaqoPIwPgBJfLUlJspPYUHlhAoTM6AAAAELw6d+7sda1169Z69dVXHYgG2CctNc7jtdnlG7Wrrhg9M7tQZ6jhdmU0izmiwl2KiQy+AoQkoxg9j3UTAACAkJacnEwTNtSbuX8aFxmmyHC/D75vcPZPn7KNRmktE6OdCwoAAABogPyerRw8cqy+f8rLy7Vq1So999xzOvHEE/XDDz/4O1wAAZAU4zkOjWJ0AAAAAEB9pKeYxehFDkUSujKzq++M3pCZ6w/VdcgLBklGXNV1dAcAAIDz3G633G637IOqXPdfO5w/wMHMPMDME1A3YS5LCdHsTQMAAAD+5vdi9O3bt+tf//qXLMuSZVm6+OKL9fbbb+vnn3/WunXrtGzZMn3wwQcaOXKkwsPDZVmWrr32Wk2dOlUvv/yyrrvuOsXExGjXrl0aNmyYcnJy/B1yrVatWqWbbrpJxx13nGJjYxUbG6sOHTroL3/5i1atWnXIzx5//PFVv4tD/fnll1/qHdegQYPq9OyZM2ce7o8O+ERSrGfCz7hpAAAAAEB9pJud0bML5XbbNdwNU05hWbWb7w29GN1cfzDXJ4JFMusmAAAAISEiIkIRERHq1KmT17X6/omMpNAYnsw8IDkuOPOXUGDmWObULAAAAABHzu/F6Dt37tRdd92lmJgYzZ49W++9954uvfRSdevWTe3bt1fXrl31pz/9Sa+//rq+/vprJSQk6O2339ZJJ52kG2+8Uf/5z3/0888/6+ijj9bWrVv1xhtv+DvkQ3rhhRfUvXt3vfrqq/rtt99UXFys4uJirV+/Xv/5z3/UvXt3vfLKK9V+tqioSGvXrvVbbD///LPfng34ktl5jIQfAAAAAFAfZjF6aYVb2/NLHIom9GRU0xVdkjIbeDG6WYAfrMXoZsfDvGK69gEAAASjgyd+V3etvn+Ag+WZ+UsMBxYOVyLTpwAAAAC/C/f3Fzz++OOqqKjQo48+qvPOO++Q9/bu3VuPPPKIRo0apUceeURvvfWWJKlDhw66//77deONN+r999/X7bff7u+wq/XJJ59o1KhRkqQuXbro4Ycf1qmnnqrCwkJ9++23GjdunLZs2aKbb75Zbdq00aBBgzw+v2zZsqoRa6tXr1br1q1r/K7Y2Nh6xbZt2zbt2LFDkjR37lz16dOnxntjYmLq9WzA1xK9Tp+T8AMAAAAA6q5ZkyjFRYapsKyy6lpmVqGOTmLNoy5qKjrfklOs8kq3IsL83r/CEeZhePOwfLDwmihXyCF+AACAYPTAAw9Ikpo2bep1DThSoTLZKRR4dUYvJscCAAAAfM3vxegLFy6UJF166aV1un/o0KEaNWqUPv/8c4/rZ555piQpIyPDp/HVxz333CNJOu6447R48WLFx8dXvdeuXTudf/75Oumkk7Rp0yaNHTvWqxj9p59+kiQ1a9ZMnTt39mls+5/tcrl02mmnecQGBBtzs5fT5wAAAACA+rAsS2mpcVq1Lb/q2sasQvU5NtXBqEJHRg3F6JVuW1v2FKlds4a5rmSuPwRrMQfrJgAAAKGhusJzitHhK2YeEKyHaUOB99RuciwAAADA1/ze5qigoEBS3btxR0Ts2wTKz8/3uJ6cnCxJysnJ8WF0dbd69WqtXr1akjRu3Lhqi72bNm1a1bV91apV2rRpk8f7S5culSSdcsopPo9v/7M7deqkJk2a+Pz5gC95nT4v4vQ5AAAAAKB+0lLjPF7X1O0b3moqRpekzOyG+3vMLTaL0YOzmMMsks+jax8AAEDI2Lx5szZv3lzn+ysqKvTVV1/pvffe82NUCEVmHhCsh2lDQWIM06cAAAAAf/N7MXpaWpok6dNPP63T/fs7oh911FEe1/cn7fuL0gMtIyNDCQkJkqTevXvXeN+xxx5b9fdt27Z5vBeIYnR/PBvwtUTz9Hkxp88BAAAAAPWTnkIx+uE6VMF5RlZRACMJLPMwfFJMcBZzmEXydEYHAAAIHWlpaWrXrp2Kiur239X5+fnq37+/brvtNj9HhlCTUxgah2lDgVdndPamAQAAAJ/zezH6eeedJ9u2NXbsWG3cuPGQ927ZskV33323LMvSeeed5/Hef//7X0nSSSed5LdYD2Xw4MHKy8vT3r171aFDhxrvW7duXdXfDy6cLykpqeqs3q5dOz3wwAPq2rWrYmJilJCQoFNPPVUvvfSSyssPL/H56aefJEnHH3+8nnnmGfXq1UtxcXGKj49Xjx499Pjjj6uwkE1ZBAezM3oOndEBAAAAAPWUbnRGP1S3bxxg27Yydh+qGL0ggNEElrn+EKxj7r0nylEoAQAAEEps25ZlWXW6d//ecm5urh8jQijyzl+C8zBtKEiOY2o3AAAA4G/h/v6CO+64Q6+//rp27typHj16aPTo0brgggvUoUMHxcbGqrCwUOvWrdOcOXM0YcIE5eTkKC4uTnfffbckac2aNXryySc1ZcoUWZal4cOH+zvkQ4qPj6/xmtBFTAAA1kNJREFUvcrKyqqi+WbNmqljx45V761YsUIVFRWSpBtuuEFlZQcSnJKSEi1ZskRLlizRpEmTNHPmTLVo0aLOMe3atUtbt26VJP3973/3eLYkLVu2TMuWLdNrr72mOXPmeMQFOMHr9DmbqgAAAACAekozitE37ylSRaVb4WF+770Q0nYXlKqwrLLG9zMbdGd0s7NgcBZzJMWY6yZl9SpoAgAAgP+53W4NHz5cO3bsqPb9gQMHKiws7JDPKCsr08qVK2VZltq2beuPMBHC8opDI38JBYkxZqM09qYBAAAAX/N7MXqrVq00c+ZMnX/++dq7d68effRRPfroo9Xea9u24uPjNX369KqE+80339SUKVMkSWeddZauuOIKf4d82J566in98ssvkqQbb7xRLteBzc/9ncslKTo6Wo899pguvPBCNW3aVL/++quee+45TZs2TT/++KMuuOACLVq0SJGRdevOdPCzJem+++7T5ZdfrpYtWyozM1MTJ07UxIkTtXHjRg0cOFA//fSTR9f22vz++++HfH/79u11fhYgeSf8uUVlcrttuVxsqgIAAADBZO/evfr888+VkZGhoqIiud3uWj9z//33ByAywLszeoXb1tbcYrVNiavhE5BqLzZvyB3mvYvRg7MzullkUuG2VVBaoSbRFJ8AAAAEC5fLpaFDh+rSSy/1es+2bX399df1et7o0aN9FBkaCrMzerDmL6GARmkAAACA//m9GF2S+vTpo19//VXjxo3TBx98oOLiYq97IiMjNWzYMD3xxBNq06ZN1fV169apbdu2uvLKK3XfffcdURwPPvigHnrooXp95uqrr9akSZNqve+DDz7Q+PHjJUkdOnTQ2LFjPd7Pzc1Vs2bNVF5ersWLF6tz585V7/Xp00d9+vTRbbfdpueff14//PCDJk6cqFtuuaVOMe7evVtHHXWUsrOzNW/ePPXr16/qvZSUFL366qvq1KmTbr/9dmVkZOixxx7T008/XadnS1Lr1q3rfC9QF8lxngm/25b2llZ4FakDAAAAcM6bb76pUaNGKT8/v16foxgdgZIcG6HEmAiPbnEbswopRq9FRlaBx+vIMJfKKg8cNNmWV6yS8kpFRxy6i2OoKatwq6C0wuNasI65N9dNpH3FEhSjAwAABJdLLrlEK1as8GjsNXnyZFmWpSuuuELh4TVvxVuWpfDwcKWkpOjMM8/UueeeG4iQESJKyitVUu7ZEMAsqEbdeRejM30KAAAA8LWAFKNL+zqkT548Wa+++qq++uorZWZmKjs7W7GxsTr22GN12mmnVdut+/333w9UiIft3Xff1YgRI+R2u5WQkKBp06apSZMmHveMGzdO48aNU0VFRY0LD08++aTefvtt7d69W6+//nqdi9GvuuoqXXXVVYd89pgxY/TGG29o5cqVmjRpkv75z3+SXMEx1W325haVUYwOAAAABInvv/9eI0eOlLSvoxsQjCzLUlpqnJZvya26lplVKB3nXEyhIMPojN4rvakWrc+qem3b0uY9RerYoon50ZBmjriXgrezYFxkmMJdlircB/79m1tUrtZNHQwKAAAA1XrkkUc8Xk+ePFmS9Oqrryo2NtaJkNAAVNe5O4l91MPG9CkAAADA//xejD58+HA1adJEo0aNUufOnRUdHe3Yye5bbrlFl112Wb0+k5iYeMj3J0yYoNtvv11ut1tNmjTRrFmz1KVLlxrvP9QJ+P2/m6lTp2rZsmUqLS1VVFRUnWM91LMl6Y9//KNWrlyp7OxsrV+/Xh06dKjTc7ds2XLI97dv365evXrVOU4gJiLMq/NablG52qY4GBQAAACAKs8884xs21ZsbKyefPJJDR48WM2bN69XjgoEQnpKrHcxOg7J/B2d0CpBa3fu1e69pVXXMrIKG1wxeq4x4l5S0B6KtyxLSbGRyio48P+TnGriBwAAQPC5//77ZVmWIiOD8+AjQoP53/+WJSUEaf4SCsxidInpUwAAAICv+b0Y/fPPP9fu3bs1ePBgde7c2d9fd0ipqalKTU31ybMqKys1atQo/fvf/5YkpaSkaPbs2UdclN2mTRtJ+zrPZWdnq1WrVkccq/lsSdq9e3edi9GPOeYYn8UASPs3VSO0ay+bqgAAAEAw+uqrr2RZlv75z3/qr3/9q9PhADVKT433eL2RYvRaZRi/o/TUOKWnxnkVozc0OUZnwfiocEWGuxyKpnbJsREexei51XR2BwAAQPB58MEHnQ4BDYC5b5oYE6EwF1PPD1d8VDjTpwAAAAA/83sxel5eniSpd+/e/v6qgCkoKNBll12mWbNmSZLatWunOXPmqGPHjrV+1rZtWVbNiWJZ2YHEMi4url5x+fPZgK8lx0Z6FKNXN24OAAAAgDNycnIkSRdddJGzgQC1SEv1HHufmd3wiqh9ye22vX5HaalxSk+J0/cZe6quNcQO82Zn9Oo64wUTM77qOrsDAAAguG3btk3Tp0/X559/rt9//115eXlKTU1VWlqaBg0apAsvvFAJCQlOh4kglGfsmybRFf2I7G+UllVwIK+iURoAAADgW35v/7O/G/ry5cv9/VUBkZeXpwEDBlQVovfu3VvffvvtIQvRy8rK1KlTJyUmJuqGG2445PNXr14tSWrRooUSExPrFNMZZ5yhpk2b6txzz63Ts8PCwtS+ffs6PRvwl0Q2VQEAAICg1aJFC0k65IFnIBikp3oett+aU6zSikqHogl+O/JLVFrh9riWnhqnNOP32BA7o5uH4IO/GD3S43VOIYf4AQAAQoVt27r//vvVoUMH3Xbbbfrkk0+0dOlSbdiwQd99953ee+89jRw5Uu3atdOkSZOcDhdByJzsZOYHqD/zd8j0KQAAAMC3/F6M/uyzzyoiIkLXXnutFi5c6O+v86uSkhINGjRIP/zwgyTpggsu0IIFC9S8efNDfi4yMlKWZSk/P1/z5s1TZWX1m6I7duzQ/PnzJUkDBw6sc1xxcXHKycnR119/rb1799YY+/Tp0yVJp59+uuLj46u9DwiUZGPT11xUAQAAAOCcs88+W5L0+eefOxwJcGhmEbXblrbsKXIomuBnFpnHRoapeZMor6L+hliMbna9Sw7yYg5z3SS3mEP8AAAAoeK6667TY489puLiYknSCSecoKFDh+rKK6/UhRdeqOOOO062bWvPnj267rrr9MwzzzgcMYKNd/4S3IdpQ4FXjkWjNAAAAMCnwv39BRs3btRVV12l//73vzrrrLOUnJysbt26KSUlRdHR0TV+zrIsTZ482d/h1ctdd92lxYsXS5KGDRumd955R+HhdfsVDh8+XOPHj9eWLVv01FNPady4cR7vV1RU6Prrr1dpaanCwsI0ZsyYOsc1fPhwzZ07V6Wlpbrzzjv16quvet0zevRo7dy5U5J055131vnZgL+Ym74k/AAAAEDwGDt2rN5++23dd999GjBggFq1auV0SEC1EqIjlBof6TFqOyOrSMc2b+JgVMHLLDJPS4mTZVlexei79paqsLRCcVF+XzoMGLPrXbB3FvTq2schfgAAgJDwySefaNKkSbIsSxdccIEmTJigtLQ0r/t+++03jRo1SvPmzdPdd9+ts846S927dw94vAhOeSGWv4SCxBimTwEAAAD+5Pcdpeuvv16WZcmyrKoT3rV1SLdtO+iK0VeuXKmXXnpJknTsscfqpZdeUklJySE/ExMTo7CwMEn7isEnTZqk9evX67777tPWrVt1/fXX65hjjtHKlSv14IMP6quvvpIk3XffferWrZvHs77//ntdddVVkqRbbrlFt9xyS9V7l19+uV5++WV98803mjhxovLy8jRmzBi1b99e69ev11NPPaUZM2ZIkq666ioNGTLEN78U4AgkenX4IuEHAAAAgkWHDh307rvv6vLLL1eXLl105ZVXqnfv3kpNTVVExKG7cQ0YMCBAUQL7pKXEeRSjZzbArt6+Yv5u9heht02J9b43u1AntEoMSFyBYB6CT4oJ7s6CSV4T5TjEDwAAEApeeOEFSdLgwYP14YcfyrKsau/r2LGjZs2apfPOO0/z58/Xs88+qylTpgQyVASxnEIjf6Ez+hFj+hQAAADgX34vRm/Tpk2NSXYoef7552XbtiRp/fr1atmyZa2fWbBggfr37y9JiouL09y5czV48GCtXbtWL730UlVx+36WZenOO+/UQw895PWsoqIirV27VpKUlZXl8Z7L5dKHH36oCy64QEuWLNG7776rd9991+sZV155pV577bU6/byAv5md0XPo8AUAAAAEjYMLzouKiqrNYatjWZYqKir8GRrgJT01Tj9uyql6vZFi9BqZndH3F6NHR4Tp6KQYbc0t9ri3YRWje647BPuYe++JcqybAAAAhIJffvlFlmXpgQceqHWPPCwsTA8//LDmz5+vRYsWBShChAJz39TMD1B/yXHkWAAAAIA/+b0YPTMz099fERBLliw54me0b99eS5cu1auvvqr3339fq1evVnFxsVq2bKkzzjhDN998s0499dTDenZqaqq+/vprTZkyRW+99ZaWL1+uvXv3qlmzZvrDH/6g66+/Xueff/4R/wyAr3idPqfDFwAAABA09h/Gruk1EEzS/r+gej86o9csI9vzd3Pw7y4tNdajGL2h/R7NzuLBPube7NzOugkAAEBoyM/PlyS1a9euTvd37txZkrRz506/xYTQk1dMZ3RfS4xh+hQAAADgT34vRm8oVq5c6ZPnxMbGasyYMRozZky9Pte/f/9aN//Dw8N17bXX6tprrz2SEIGASIzh9DkAAAAQrBYsWOB0CECdpZvF6NkNq4jaVyoq3dqyp8jjWnpqbNXf01Li9M367KrXGVme94Y6c90h2Is5zGJ5JsoBAACEho4dO2r58uVatmyZzjzzzFrv37Bhg6S6F6+jcTD/+z/YD9OGAqZPAQAAAP7lSDF6Tk6OtmzZovz8fJ1++umSpMLCQsXFxdXySQANhdkZndPnAAAAQPDo16+f0yEAdZaW4rmetD2vRMVllYqJDHMoouC0NbdY5ZWejQ7SU+MP+nvDLuo3Cw2Cfcx9cpznukl+Sbkq3bbCXJZDEQEAAKAu/vrXv+rGG2/UXXfdpa+++kqxsbGHvP+RRx6RJJqNwYM5GcncV0X9MbUbAAAA8C9XoL6orKxMEyZM0AknnKDU1FT16NFD/fv3r3p/wIABGjRokFatWhWokAA4KDnOc9N3b0mFKirdDkUDAAAAAAhVaanexR0NrZDaFzKyPH8nCdHhHpvxZjG6eX+oMw/BB31ndGOinG1L+cV07gMAAAh2N9xwg66++motXbpUp59+uhYtWlTtfZs2bdIll1yimTNn6pxzztFtt90W4EgRrGzb9p7sFBPch2lDQaJXozTyKwAAAMCXAtIZffv27RoyZIiWLVsm27arvWfDhg368ccf9eWXX2ratGkaOHBgIEID4JCkGO9N37zicqXERzkQDQAAAICa7NmzR5MnT9aXX36pzZs3q6CgQHFxcWrbtq1OO+00DR8+XK1atXI6TDRisZHhapkQrR35JVXXMrMK1fmoBAejCj6ZRnF5emqcLOtAl+00oxh9T2GZ8orLlVhN/h5qissqVVrheQA+2MfcV1csn1NU5nW4HwAAAMHliiuukCTFxcVp+fLl6tevn4466iideOKJSkxMVElJiTZs2KBff/21at98xYoVSktLq/Z5lmVp06ZNgQofQaCgtEIVbs+aimA/TBsKzOlYTJ8CAAAAfMvvxegVFRUaMmSIfv75Z4WFhenyyy9Xr169NGrUKI/7/vSnP2nKlCkqLi7WZZddptWrV7OZDTRg1W365hRRjA4AAAAEk4kTJ+qOO+5QUVGRJHkcMF+xYoU++eQTPfTQQ3rmmWd00003ORUmoLTUWI9i9Aw6o3sxO52bndBbJ8cqzGWp8qCih8ysQnVrnRSI8Pwqt9h7/Hqwj7mPjghTTESYissrq67l0hkdAAAg6L3zzjuyLMsjf962bZu2bdtW42d27txZ43sHHyBF42B2RZe8J06j/sxi9P3Tp/jdAgAAAL7h92L01157TT///LOSkpL0+eef66STTlJhYaFXMfrEiRN13XXXadCgQcrNzdXzzz+vf/zjH/4OD4BDIsNdiosMU2HZQZuqRd6bw//H3p3Hx1UW+h//nslkmUmaTJqUpZQ2KVtZLbuUTVEECggIXJFNRGUTWbWigAKi/C7KLpZFrlwvXkS29kIpgpeCLCJIKVRAhDbpXuikk32yTOb8/uht2vOcSTpJZjln5vN+vfp6NScnZ55Mldc853yf7wMAAAAgP2655RbNmjVr8AH6DjvsoF133VWVlZVqb2/XBx98oObmZsXjcX3nO99RPB7X5ZdfnudRo1g11lfp9aXrB79uWkcY3dTU0u342mxCLwsGNKk2pGWbnddUIGH0WJczzGFZUnWFt8Po0ob2w3gb900AAAD85OyzzyZAjjExw+jBgKXKspI8jaZwsPsUAAAAkF1ZD6M//PDDsixLP/nJT7TPPvsMe+6BBx6o66+/XpdccomeeeYZwuhAgYuEy9TVFx/8OtVKfwAAAAC598EHH+iqq66StGGuPnv2bE2fPt113ltvvaWLL75Yf/vb33TVVVdp5syZ2mWXXXI8WkBqrA87vm6mGd2leQvN6JLUUFfpCqMXAjPEXRMqVcAHW7FHwmVa07ap8d8M1QMAAMB7HnzwwXwPAT4XM+YvkXAZCxwyoKK0RBWlAfX0JwePsfsUAAAAkDmBbL/A4sWLJUknnHBCWufPnDlTkrR06dKsjQmAN5gr0M2bKwAAAADy44477tDAwIA+85nPaMGCBSmD6JK07777asGCBdp7772VSCR033335XagwP9pqHMGq5ui3UOcWZz6EkmtjDnfk1RhdPNYoYT6zYCBuT27V9Ua900ISgAAAHjfrFmzdPPNN+uTTz7J91DgU+bzUnNegNEz54LsPgUAAABkTtbD6N3dGx50RSKRtM6vqamRJCWTyS2cCcDv3BN+HqoCAAAAXvDCCy/Isiz99Kc/VUVFxbDnVlRU6IYbbpBt23ruuedyNELAaeoEZ4g62tmrjh7mmBstX9+tpO081pBGGL1QmtHdzYL+CHOY4yQoAQAA4H0PP/ywfvjDH2rBggX5Hgp8qs1YhOqX+Ysf1ISMojR2nwIAAAAyJuth9K222krShi2+07Fw4UJJ0jbbbJO1MQHwhhpXwxcPVQEAAAAvWLlypSTps5/9bFrnbzxv2bJlWRsTMJztx4cVMHYtb6YdfVCzESqvqyxTdYU70GAG1JuiXbJt23We35iL3yMhf4Q5IsYifnaUAwAA8L5169ZJko444og8jwR+ZQakzXkBRs9VlMbuUwAAAEDGZD2Mfuihh0qSbrvtti2em0wmdeONN8qyLB188MHZHhqAPDO3lYvRjA4AAAB4QjAYlCT19PSkdf7G8yzL2sKZQHaUB0s0MRJyHGtqKYxW70wwG87NBvSNphrHO3oSWt/l/wC02ShuBhC8yrxvwo5yAAAA3tfQ0CBJampqyu9A4FvmIlRzXoDRq61k9ykAAAAgW7IeRr/44otl27Yef/xxXX755YrH4ynPW716tU4++WS9/PLLkqTzzz8/20MDkGeu1edM+AEAAABP2HHHHSVJzz77bFrnz58/X5I0derUrI0J2BIzYN20jjD6RmYw32xA32hiJKSyEuftQjPI7kfm4ne/NAtGQuZ9E8LoAAAAXnfDDTfItm2dd955Wrp0ab6HAx9qi/tz/uIHNSF2nwIAAACyJZjtF/jsZz+ryy+/XLfddpvuvPNO/eY3v9Guu+46+P0zzjhDTU1Neuutt5RIJCRJ3/zmN3XIIYdke2gA8qwmRMMXAAAA4EUzZ87UokWLdM011+iLX/yipkyZMuS5y5Yt07XXXivLsnTsscfmcJSAU2N9pV7+KDr4dTPN6IOa02xGLwlY2n58SEs2C/I3Rbu0X8P4rI4v28zF7xGfNAua4yQoAQAA4H319fW68MILNXv2bO2yyy7aa6+9NH36dNXV1amiomLYn73hhhtyNEp4mfm53y/zFz9g9ykAAAAge7IeRpekX/7ylwqHw7rpppvU1dWlv//974Nbd//hD3+QJNm2LUm68MILdccdd+RiWADyzGxGN5vKAAAAAOTHJZdcol//+tf69NNPtd9+++knP/mJvvKVr2jixImD56xevVqPPfaYfvrTn6qlpUXV1dW69NJL8zhqFLuGOqMZvQAavTPFfC+GCqNv/N7mYfRCCPWbAQO/bHPv3lGO+yYAAABe98UvflGWZcmyLA0MDGjRokVatGhRWj9LGB2S+3mpOS/A6DHHAgAAALInJ2F0y7L005/+VOecc47uu+8+vfjii1qyZIna29sVDoc1efJkHXroofr2t7+t6dOn52JIADygttJcfU7DFwAAAOAFW221lf7rv/5Lp5xyilpaWnTppZfq0ksvVVVVlaqqqtTZ2anOzk5JGxaXl5aW6uGHH9aECRPyPHIUs8YJhNFTifcNaE1bj+OYGdzfnBlUL4T30d0s6I8wh9mAyH0TAAAAf9hYwmb+HUhHmzl/CfljMa0f1LD7FAAAAJA1OQmjb7TDDjvo3//933P5kgA8rCbE6nMAAADAq4499li98MILuuSSS/TWW29Jkjo6OtTR0eE4b5999tGvf/1rHXDAAfkYJjCo0QhYt8X7FevqU22lP4LH2bJsvTtM3lAfHvL8BlcYvTvjY8o1836DX7a5N0PzXX0D6kskVRYM5GlEAAAA2JJkMpnvIcDnzGZ0vyym9QOa0QEAAIDsyWkYHQA2Z26LHe8fUE//gCpKS/I0IgAAAACbO+igg/Tmm29q0aJFeumll7RixQq1t7erqqpKU6ZM0aGHHqp99tkn38MEJEmTakMKBiwlkpuaB5tauoo+jN60zhlG36a6QuGyoW8JmqH+5miXbNuWZVlZGV+22bat1rg/t7k375tIUmu8T1uNq8jDaAAAAABk20DSVnuPMX+p9MdiWj9g9ykAAAAge3IeRl+/fr26u7vTWhU+efLkHIwIQL6kevjb2t2vbWoIowMAAABeMn36dE2fPj3fwwCGFSwJaPL4sJZGN4Wvm9Z1aZ/JtXkcVf41tTjD6MO1oktS4wRnGD3eP6BP2nu1TY0/A9AdvQkNbLZAQfJPM3pNKEUYvbufMDoAAIDPxGIxrVixQp2dnaqsrNSUKVMUiUTyPSx4UHu8X7Zz+qJIyB+Laf3AXPDL7lMAAABA5uQkjL569WpdffXVmjNnjtrb29P6GcuylEgksjwyAPlUHSqVZclxU6U13ufbB9wAAAAAgPxqqK90hNGbjSB2MWqOOt+DxvrKIc7cYOtxFaooDainf1ORRFO0y7dz9dYu97brftnmPlgS0LiKoDp6Nt0jjXXR3AcAAOAHyWRS9913n2bPnq1//OMfru/vsssu+va3v61LL71UgQBBWGwQS9HU7ZfFtH6Qai7I7lMAAABAZmQ9jN7a2qoZM2ZoxYoVss1lvACKWknAUnVFqdo22y47luIhMQAAAIDsOfvssyVJ22yzjW6++WbHsZGyLEv/+Z//mbGxASPVUOcMWjdFCaOb78GWwuiBgKWGukr9c23H4LHmli4dtENdVsaXba1xZ5ijtMRSZZl/dmSrDZc5wuitce6bAAAAeF0sFtOJJ56oV155Zcjn4//85z/1ve99T0888YTmzJmjujp/ft5GZsW6nZ/3Q6Ulqij1z/zF69h9CgAAAMierIfRf/GLX2j58uWSpP32208zZ87UVlttpfLy8my/NAAfqA07w+itKVb8AwAAAMiehx56SJZlaYcddhgMo288NhK2bRNGR941TiCMbmqKdju+NgP7qTTWO8Pofn4fzTBHJFw24v++5VMkXKrl6zd9zX0TAAAA7zvllFP08ssvS5L22msvnXrqqdp1111VWVmp9vZ2ffDBB3r88ce1ePFivfbaazrzzDM1f/78PI8aXtBmLKalFT2zSksCGlceVEcvu08BAAAAmZb1MPqTTz4py7L01a9+Vf/93/+d7ZcD4DM14TKpZdODcRq+AAAAgNyaPHmyLMvSdttt5zrmJYsXL9bNN9+sBQsW6NNPP1VdXZ32228/fec739HRRx+dsddJJpM6/PDD9corr+jrX/+6HnzwwYxdG9nXaAStm6NdgwslilFHT7+inb2OY1tqRpekhvrCCfWb4e1IiiY8LzO3kTfD9QAAAPCWP/zhD1qwYIEsy9Ivf/lLXX755SnP+/GPf6zbb79dV155pZ577jn9z//8j7785S9nbVzz58/XAw88oNdff13r1q1TeXm5dtxxRx177LG65JJLNGHChIy8DnPqsTF3kDbnAxi7SGWpI4zOs2kAAAAgM7IeRm9ubpYk/ehHP8r2SwHwoVpjRX+Mhi8AAAAgpzbO27d0LJ/mzp2rU089Vf39mx4Qrl27Vk8//bSefvppffe739Wdd96Zkde6+eab9corr2TkWsi9hvqw4+uuvgGt6+wt2i23l7U4W9EtS5pcFx7i7E1Shfr9qtUIb9f6LMxh3jcxfx8AAAB4y8adxs4///whg+gbXXbZZfroo480e/Zs/cd//EdWwuiJRELnnHOOfv/73zuO9/X16e2339bbb7+t++67T3PmzNFBBx005tdjTj02ZjDanA9g7CKhMq1QfPBrdp8CAAAAMiOQ7RcIhzc84Nq8YQ0ANjIfArfxUBUAAADwrb6+zD/AW7hwoU477TT19/dr//3314svvqhoNKo333xTJ5xwgiTprrvu0t133z3m13r77bf1k5/8ZMzXQf5MrAmpLOi83dW0zr9B6rFaaoTIt4uEVB4s2eLPNU5whtGXtXRrIGlndGy5Yi5699s292aTO0EJAAAAb3vrrbckSRdccEFa559//vmSpHfeeScr47nqqqsGg+gnnHCCXn31VUWjUb377ru66aabFA6H9emnn+q4447TqlWrxvRazKnHzrWzk8/mL35gvqcs+AUAAAAyI+th9L322kuS9OGHH2b7pQD4UE2IZnQAAADAa4444gh94QtfUG9vb1rnr1+/Xo2Njdptt90yPpZrrrlGPT092mGHHfTCCy/o8MMPV11dnfbbbz89+eSTOumkkyRt2OK8vb191K/T09OjM888MyuBeuROIGCpwWj+bm4p3jC62WjeWF85xJlODUYzet9AUqtb40Oc7W1msMBvYY6IsYif+yYAAADetn79eknS5MmT0zp/43lr167N+FhWr16tO+64Q5J0xhlnaM6cOZoxY4bq6uq055576qqrrtKCBQsUDAa1fv163XTTTaN+LebUmeFeTOuvnZ38wCxKixFGBwAAADIi62H0888/X7Ztj2nyCqBwMeEHAAAAvOfFF1/Uiy++qIGBgbTO7+np0bJly7R69eqMjuODDz7Q/PnzJUk//OEPVVVV5fi+ZVm69dZbZVmW1q9fr8cff3zUr/WDH/xA77//vo488khNnDhxTONGfplB6qZod55Gkn+jDaPXV5WpqjzovJZPQ/1ms6B5H8LramntAwAA8JVIJCJJWr58eVrnbzyvpqYm42OZM2eOEomEJOlnP/tZynMOOOAAHX/88ZKkefPmjfq1mFNnhvl535wPYOzczegsoAAAAAAyIbjlU8bmq1/9qp599ln97ne/01e/+lX94Ac/0N577y3LsrL90gB8oLbSOeFv46EqAAAAkDPJZFIPP/zwkKHz3//+9yovLx/2Gn19fZo7d64kucLiY7UxiG5Z1uDDcVNDQ4P22msvvfPOO5o7d66+8Y1vjPh1/vznP+uuu+5SJBLRf/zHf+izn/3smMaN/GqcYIbRO/M0kvxbaoTRzaD+UCzLUmN9pRavahs81hTt0qE7Tcjo+HLBXPTut2ZBc7yE0QEAALxt33331Z/+9Cfdf//9uuuuu7Z4/n333SdJ2nvvvTM+ltWrVysUCqm6ulpTpkwZ8rwdd9xx8PzRYE6dOa6dnUL+mr/4AXMsAAAAIDuyHkY/++yzZdu2QqGQHnvsMT322GMqKytTJBJRaenQK3kty9KyZcuyPTwAeVYTcv53gO2mAQAAgNwJBAJ644039Ktf/cpxfOMC8gsuuGBE15s5c2bGxiZJixYtkiRNmjRJW2211ZDn7b333nrnnXf01ltvjfg1YrGYzjnnHNm2rbvuukuTJk0a7XDhEY1G4Lq5mJvRW0bXjC5JDSnC6H5kttyZLXheZ46X+yYAAADedsYZZ+jZZ5/V7Nmztcsuu+jiiy8e8ty77rpLs2fPlmVZOuOMMzI+lhtvvFE33nij2tvbhz3vo48+kiTV1taO+DWYU2eW+Xnfb/MXPzDb5pljAQAAAJmR9TD6Qw89JMuyZNv24LHe3l598sknw/4czelAcTC3xzYbywAAAABk189+9jM98cQTWrVq1eCxjXPyzefyQwkGg6qrq9PnP/953X777Rkd28ZF6g0NDcOet7HhbdWqVerv7x928bvpggsu0KpVq/SVr3xFZ5555qjHCu9oMALXzS1dSiZtBQLFda8p1tXnangbSRi9sS7s+LrZr2H0uL+3uTfvm7TG+2XbNvdOAQAAPOprX/uaZs+erddee02XXnqpfvvb3+rkk0/WrrvuqqqqKnV2duqDDz7Q448/rkWLFsm2bR100EFZCaNvVF1dPeT3VqxYoWeeeUaSdPDBB4/42sypM8ucw5nzAYydGfCnGR0AAADIjJw0o/NwBMBQzJsobfE+HqoCAAAAOVRVVaUVK1Y4jgUCAVmWpc7OToXD4SF+Mvui0aikLbez1dTUSNoQnm9ra1N9fX1a13/ooYf0xz/+UVtvvbXuvffesQ3WsHLlymG/v2bNmoy+HjaZagSuexNJrWnv0XaRUJ5GlB9NRit6MGBpUm3670HjBOf76Ndm9FiX2SzorzCHGZToSyQV7x9QuCzrt3UBAAAwCoFAQE8++aRmzpypt956S2+//fbgrl+b27j4e7/99tOcOXPy8lwsmUzqvPPOU1/fhs/MF1100Yh+Pltz6mKeT/t9Zyc/MOeErXGa0QEAAIBMyPpTiwcffDDbLwHAx8ybKP0Dtrr6BlRVzkNVAAAAIF8mT56sQCCgQCCQ13H09PRIkkKh4QO0m38/Ho+nde3ly5cPbpd+3333pR1gT9f222+f0eshfRPGlauyrERdfQODx5qjXUUXRjebzLcfH1awJP3/TzfUOcPoK2Jx9Q8kVTqCa+RbYiCp9p6E45jfwhypwvOx7n7C6AAAAB42YcIEvfbaa7r33nv1m9/8RosXL3bsPGZZlvbYYw+dd955Ov/880e0u1cmXX755Xr22WclSaeddpq+8IUvpP2z2ZxTF+t8ui+RdMxjJf8tpvWDVLt2U5QGAAAAjB1PLQDkVaqHwLGuPsLoAAAAQB41Nzc7vm5vb3dt6718+XKtXLlSBx10UNYe2JWUlEjSFq+/+UP9dAL0tm3rnHPOUVtbm77xjW/oy1/+8tgGCk+xLEtT6ir1/pr2wWNN0S4dvGNmFxx4nRlGb6gb2S4HjUbD/EDS1spY3HXcy8wguuS/be7HlQcVsKTkpv/MqbW7r+gWVwAAAPhNaWmpLr74Yl188cWKxWJatWqV2tvbVVVVpcmTJysSieRtbLZt6/LLL9edd94pSdpzzz11//33j+jnmVNnXqqG7lqfLab1g0iI3acAAACAbPDkJ+r29g0PC80H3QAKT1V5UMGApcRmT1Xb4v0qzs4DAAAAwFt++9vf6mc/+5n2228//eEPf3B87+mnn9Z3v/tdTZkyRTfffLNOOeWUjL9+VVWVpC23nW9sUJekioqKLV73lltu0YIFCzRlyhTdfvvtYxrjUFasWDHs99esWaMDDjggK68NqXGCO4xebJYav3NjfdWIfj4SLlNtuFSx7v7BY03RTl+F0WPd7jBHTchfYY5AwFIkXKb1XZt+l9bN/k0AAADgfbW1taqtrc33MCRJvb29Ovfcc/Xf//3fkqRdd91Vzz333OD8Ox3ZnlMX63w61ed8v81f/CDVAuVWdp8CAAAAxiyjn6jPPfdcWZale+65Z9TbiXV1dSkSiSgQCCiRcLcXASgslmUpEi5VtHPTQ9VUD4sBAAAA5NYll1yiu+++W7Ztp3wovWTJEtm2rebmZn31q1/V//t//0/f//73MzqGmpoaSVJbW9uw57W2tkra0Iq+pQf8ixcv1jXXXCPLsvTb3/42awvhJ02alJXrIj2Ndc7AtNkSXgyaW8ww+sia0SWpob5SseWtg183RbvHOqycajXuL4RKS1RRWpKn0YxeJFzqCKNz3wQAAMAfYrGYampqHDt4/f3vf9fs2bO1atUq7bjjjrrwwgu1++6752Q80WhUJ554ol599VVJ0r777qv58+drwoQJaV8jF3PqYp1Px7qcn/PHVQQVLNny7m8YmXEV7t2nYt19msjuUwAAAMCYZHT28uCDD+rBBx9Uf3/qdp54PK7GxkbtsMMOW7zW5ltsAyhsEWMFeoyGLwAAACCv/vSnP+lXv/qVbNvW/vvvr2uvvdZ1zk9/+lPNmzdPM2bMkG3b+tGPfqQ333wzo+PYeeedJUnLly8f9ryN399+++0dD/lTefzxx9Xb2yvbtnXEEUfIsizXn1WrVkmS/vM//3Pw2Isvvjj2Xwg502C0dze1FFcY3bZtNRvBcfM9SYffQ/1ms6Bft7g3t5GnGR0AAMDbmpqadPTRR2urrbbSxx9/PHh8/vz5OuSQQ/Tggw/q+eef1+zZs7X33nvroYceyvqYPvroIx100EGDQfSjjz5aL7744oiC6BJz6mxqjZvzF3eDN8YuELBcjfPMsQAAAICxy+lS2mQyqWXLlqm5uTmXLwvA48yHwW00fAEAAAB59etf/1qS9KUvfUmvvPKKTj75ZNc54XBYxxxzjP7yl7/oC1/4ggYGBjK+Pfdee+0lSWpubh5sP09l4cKFkqTp06dn9PXhX41G8Hp5S7cSA8k8jSb31nX2qrPXueOg+Z6kw/wZs23d68zF7uZieL8wQyhm4zsAAAC8o7OzU5/73Of0/PPPK5lMaunSpZI2LBj9zne+o76+DZ/l9txzT1VXVyuRSOjb3/62lixZkrUxvfvuu5oxY8ZgMP7b3/62nnrqqZS7oCF/zM/5EZ8upvUD9xyLMDoAAAAwVuzrBCDvakI0owMAAABe8re//U2WZen6669XaenwDz8DgYB+8pOfSJJeeumljI5j5syZkjYsbp83b17Kc5YuXarFixdL2tDstiU/+tGP1NHRMeyfiRMnSpLOOOOMwWOHHnpohn4r5IIZok4kba1qjedpNLlntqKXBQOaWDPyLcfNNvWl6/wVRi+UMAc7ygEAAPjH7NmztWLFCgWDQV1//fXaf//9JUkLFixQc3OzLMvS7bffrkWLFmnp0qXad9991dfXpzvvvDMr4/n444915JFHKhqNStqwy9l9992nYDA4qusxp86eQllM6wfm3DDGgl8AAABgzEY3ywSADDKb0ZnwAwAAAPkVi8UkSTvttFNa5++6666SpHXr1mV0HI2NjTrkkEP0yiuv6Prrr9dxxx2nmpqawe/btq0rr7xStm2rvr5eZ5111havWVZWprKy4R/oWpYlSQoGgzTF+VRtuFTVFUG192xqB2+KdmlK3cjbwf2oOeoMjU8ZH1YgYI34Omaof3VbXD39A6ooLRnT+HLFbLfz6zb3ZlCC1j4AAADv+p//+R9ZlqUbb7xR3//+9x3HJWncuHG64IILJEm1tbW64YYbdOyxx+r555/P+Fj6+vr01a9+VZ9++qkk6bbbbtNll102pmsyp84e9/zFn4tp/cAM+rP7FAAAADB2NKMDyLvaSueEv42HqgAAAEBebbPNNpKklStXpnX+xhD65kHxTLntttsUCAT00Ucf6dBDD9Vzzz2naDSqhQsX6qSTTtKcOXMkSdddd50qK53B2WnTpmnatGk6++yzMz4ueJtlWWqc4Aw9NEX91eo9FkuN39UMlafLbEa3bWnF+u4hzvYec7G7X5vRzRAKQQkAAADv+uc//ylJOvnkkx3H//SnP8myLH3hC19w7ED2mc98RlL68++RuO+++7Rw4UJJ0qmnnqpvfetb6uzsHPbP5phT55ZrZ6eQP+cvfsCCXwAAACDzCKMDyLuaEM3oAAAAgJfstddekjY8uE7Hf/zHf0iSpk+fnvGx7LfffnrggQcUDAa1ePFiHXXUUZowYYL23XdfzZ07V5J0xRVX6Dvf+Y7rZz/88EN9+OGHWr58ecbHBe9rrAs7vjbbwguZ+buONoxeVR7UhHHljmNm0N3LzECBX8PoZmsf900AAAC8q62tTdKG1vONli1bpg8//FCS9MUvfjHlz/X3Zz4Me8cddwz+/dFHH9W4ceO2+GdzzKlzy72Y1p87O/mBuWtWjDA6AAAAMGaE0QHkHRN+AAAAwFu+8Y1vyLZtzZ49W7fccsuw586ePVu33nqrLMvSmWeemZXxnHPOOVq4cKHOOussTZo0SaWlpaqtrdWRRx6pJ598cotjRHEyW72bWvzT6D1WzS3OwLj5XoxEY53zZ/0U6m+NO8Mc5v0Hv3C19sW5bwIAAOBV48ePlyStXr168Nj8+fMH//6lL33Jcf4//vEPSdJWW22V0XG0tLTo448/zug1kV3mYlpzhyRkjtk6z+5TAAAAwNgF8z0AADBvprTxUBUAAADIq5NOOklHHXWU/vSnP2nWrFm6++67NXPmTO20004Kh8Pq7u7WkiVL9Kc//Ukff/yxbNvWIYccorPOOitrY9pzzz31u9/9bkQ/Y9v2qF4rG9ujI/fMNnA/hajHIpm01ZShZvSNP/tG8/rBr82gu5fFusxmdH+G0c0QPVvIAwAAeNf++++vZ555Rr/97W/1y1/+UgMDA/rNb34jSZo2bZp22GGHwXP7+vp04403yrIsHXDAARkdR11d3ajnxBsxp84t985O/py/+EGk0phj8WwaAAAAGDPC6ADyrsYIo7PdNAAAAJBflmXp4Ycf1te+9jX96U9/UnNzs2bPnu06b+OD6c9//vN69NFHZVlWrocKDMkMYK+MdasvkVRZsLA3Clzb3qPeRNJxbCxhdLNVfek6/4TRzXY7s/3OL1zN6N19SiZtBQL8NxcAAMBrzj77bM2bN0+33Xab3n33Xa1fv14LFy6UZVk699xzB8+75557dO+99+qdd96RZVn61re+lcdRwwvM56PmPACZYxal8WwaAAAAGLvCfvoGwBfMhq+2eL8GkmNrawAAAAAwNpFIRPPnz9cTTzyhU045RZFIRLZtD/6pqqrSUUcdpT/84Q/685//PLgVOeAVZog6aUvL13fnaTS5YzbAh8tKtNW48lFfr7E+7Ly+j5rRzXa72kp/hjnMRsSkLXX0JvI0GgAAAAzn1FNP1ZlnninbtvXnP/9ZCxculLShMf2SSy4ZPO/nP/+53nnnHUnShRdeqKOOOiov44U32Lbtnr/QjJ41kRC7TwEAAACZlpVmdJrQAIyEeTPFtqWOnn62nwMAAAA84MQTT9SJJ54oSert7VVLS4vC4bAikUhexwVsSXVFqeqryhTt3NRw1hzt0o5bVeVxVNm31AijN9RVjuleXWO98/36pL1XXb0JVZZ7e8PF3sSAuvsGHMf8ep/BbO2TNrSj1/i06R0AAKDQ/e53v9MxxxyjJ598Uj09PTrssMP0ne98R6Wlmz6/7brrrqqpqdH3v/99nX322XkcLbwg3j+gPmOHK5rRs4fdpwAAAIDMy8pTo9122y3lQ66N23dL0tSpU1P+7ObnACgOqW6mxLoJowMAAABeU15erokTJ+Z7GEDaGuoqHWH0pqh/Wr1Hy2xGbzQa4kdqSl3Yday5pUu7T6wZ03WzLVWzXcSn4e1QaYnKggFHOCXW3a8pdXkcFAAAAIb1ta99TV/72teG/P6cOXMUCoVyOCJ4WSzV/IXnpFlTW5l69ykW/AIAAACjl5Uw+rJly4b9vm3bam5uzsZLA/ChitISVZQG1NO/+UPVPjVqbA/MAQAAAOROIpHQ/Pnzdfzxx+d7KMCghvpK/X1ZbPDrppYiCKMbv2NDvTtMPhIVpSWaWFOh1W09m14j2u3LMLpfgwWWZSkSKtWnHb2Dx1q7+4b5CQAAAHgdQXRszvx8XxKwVF3h7d2o/CzVQmV2nwIAAADGJqMzmMMOO2xM2/4CKF614TKt2ezBdluKh8YAAAAAcieZTOp3v/udnn32WUWjUfX397t2M0smk+rr61NnZ6eWL1+unp4eJRKJPI0YcDNbwc3W8EK01NWMXjXmazZOqHSG0X0Q6o8ZYY7qiqCCJYE8jWbsasNlRhid+yYAAABAoTA/39eESsldZFG4rERlJQH1DWwqSmtl9ykAAABgTDIaRn/xxRczeTkARaQmVOoIo5sPjQEAAADkzsDAgI455hj97//+r+t7GwPpmz8UTXUM8AIzjN5U4GH0xEBSK9Z3O441jrEZXZIa6ir16sctg18vXef999FsFvT7FveRsLOhj/smAAAA+VdSUpKxa1mWxeLuImZ+vjc//yOzLMtSJOzcfYo5FgAAADA2/q0DAlBQao2HwjEavgAAAIC8+a//+i/9+c9/lm3bqqio0Gc+8xntuOOOsm1bU6dO1cEHH6ydd95Z0oYgumVZOuuss/TKK6/keeSAU0OdM4y+pq1H8b6BPI0m+1a39qh/wLmDgfkejIarYd4Hzehms2Ctz8McZhiFZnQAAID8s207Y3+SyeSWXxAFyz1/8fdiWj9gjgUAAABkVkab0QFgtGornRP+NlafAwAAAHnzyCOPSJL22GMPPffcc9pmm2308ssv6/DDD9e+++47+P2VK1fqm9/8pp5//nm9+eabuvfee/M5bMClIUUr+LL1XZq2TXUeRpN9S6Odjq+rK4IaXzn2EIMrjO6Dhnlzkbvfm9HNMIrZ/A4AAIDc++1vf5vy+BtvvKHZs2dLko466iiddNJJmjZtmmpqatTb26ulS5dq/vz5evjhhyVJP/vZz3TYYYflbNzwHtfOTiF/L6b1A3OOyBwLAAAAGBvC6AA8oSZEMzoAAADgFYsWLZJlWbruuuu0zTbbSJIOPPBABYNBvfDCC4PnTZo0Sf/zP/+j/fffX++9954efPBBXXDBBfkaNuASLgtqm+oKrW3vGTzWtK5ww+hmSLyxvlKWZY35ug1GGL2lq09t8X7VeDgg4Qpz+L4ZnfsmAAAAXvP1r3/ddWzFihW69NJLVVFRoT/84Q/68pe/7DrngAMO0GmnnaYLL7xQRx99tK677jq98cYbuRgyPKrQFtP6gbl7FnMsAAAAYGwC+R4AAEipJvysPgcAAADyJRaLSZL23nvvwWNlZWXaeeedtX79ei1btmzweHl5uWbNmiXbtvXHP/4x52MFtsRsR29q8X6r92g1t3Q7vjZD5KO1fW1YASPT7vV29ELb5t61hXycoAQAAIAX3XDDDero6NC1116bMoi+uc9+9rP62c9+png8rhtuuCFHI4QXmfMXvy+m9YNIiGZ0AAAAIJMIowPwBPOhcBsPVQEAAIC8KS8vlyRVVzvbo3faaSdJ0vvvv+84fsghh6Q8DnhBY32V42uvh6jHYmmKZvRMKAsGNKnWGepv9nio31zk7vcwh7mIn6AEAACAN82fP1+SdPrpp6d1/kknnSRJeumll7I2Jnif+fne/PyPzItUsuAXAAAAyCTC6AA8oYZmdAAAAMAztt56a0nSypUrHcd33HFHSdI//vEPx/HKyg2B142N6oCXNJrN6AUcRjeD9pkKo6e61tJ13n4fXc2CIX+HOSLGIn7umwAAAHjTxnlxVVXVFs7cIBDY8Li+q8vbn6+RXe7FtP7e2ckPzKK0WDdhdAAAAGAsCKMD8ATXhL+LCT8AAACQLwcddJAk6be//a3j+LRp02Tbtv7yl784jm8Mp5eV8bAU3tNQ5wxRN0W78zSS7OpLJLUy5vzdzN99LMwwuteb0VvjRrNgpb//+2SG6c2wPQAAALxhypQpkqQXX3wxrfOfeuopSdLUqVOzNST4gNnK7fednfzAPcdiwS8AAAAwFoTRAXiCud1cG1uhAQAAAHlz+umny7Zt3XXXXbrgggv04YcfSpI+//nPKxAIaP78+XriiSckSZ9++qlmzZolSdpll13yNmZgKFMnOEPU0c5edfQU3pxz+fpuJW3nsYYMNqM31Dkb5s0Wdq8xW+383ixohuk7ehJKDCTzNBoAAAAM5cgjj5Rt2/r+97+v1atXD3vue++9px/+8IeyLEtf+cpXcjRCeJG52NQs8ULmmXNEFvwCAAAAY0MYHYAnmCv8O3sT6kvwUBUAAADIh6OOOkrHHnusbNvW/fffr+uuu07Shqa2E088UclkUqeeeqq23nprbbfddlq4cKEsy9Jpp52W34EDKWw/PqyA5TzWXIDt6GY4vK6yTDWhzLXpNU6ocny9NNol27aHODu/bNt2tdqZrXd+k6oZ0WxPBAAAQP5deeWVqqys1LJly/SZz3xGP//5z7Vw4UK1tbWpv79fra2tev3113XVVVfpwAMP1Pr167Xtttvqu9/9br6HjjxJJlPMX2hGzzqzKC1GMzoAAAAwJoTRAXhCqoYyc0ttAAAAALnzxz/+URdddJGCwaAaGxsHj99+++1qaGiQbdtat26dBgYGZNu2DjvsMF122WX5GzAwhPJgiSZGQo5jTS3ebvUejWbjd8pkK7okNdY5r9fRk9D6Lm/O27v7BtQ/4AzK+71ZMBJKcd+E5j4AAADPmTx5sh599FGVlpaqpaVF1157rfbff3+NHz9eFRUVqqur08EHH6xf/OIX6u7u1vjx4zVv3jyNHz8+30NHnnT0Jly7XPl9Zyc/MN9jdp8CAAAAxoYwOgBPSNVQ1sZDVQAAACBvQqGQfvWrX2ndunW68MILB49PmjRJ77zzjn7+85/ruOOO0wknnKC7775bzz33nILBYB5HDAyt0Qhmmy3ihWCp8TuZv/NYTYxUqLTEWTFvBuC9IlWjXaTS382CZcGAKstKHMfM9kQAAAB4w9FHH63Fixfr+OOPV0lJiWzbdv2pqKjQ17/+dX3wwQf6zGc+k+8hI49Sfa43W7uReane4zZ2nwIAAABGjafEADwhWBLQuPKgOnoTg8dihNEBAACAvHj44Yc1depUHXjggaqurlZ1dbXj++PGjdNVV12Vp9EBI9dYX6mXP4oOft1UgGF0M2Cf6TB6sCSgyePDWrJu0+ssXdelfad4r8HRbAwvCVgaV+7/26CRcJm6+uKDX3PfBAAAwLt22mknzZ07V+3t7frLX/6iFStWqLW1VePHj9fkyZN1+OGHKxwOS5L6+/v12GOP6Wtf+1qeR418MD/XlwUDCpWWDHE2MqUmRRg91t2vuqryPIwGAAAA8D//P4UBUDAilaVGGJ2GLwAAACAfrrvuOn388ceaPXu2zjvvvHwPBxizhjpnMLsYwujm75wJjfWVjjC6V5vRzTB6JFQqy7KGONs/IuFSrWrdFEanGR0AAMD7qqurddxxx6X83tKlS3XvvffqwQcfVEtLC2H0ImV+ri+U+YvXlQdLFC4rUXffwOAx5lgAAADA6BFGB+AZteEyrVi/6aFqGw1fAAAAQF6sWLFCknTMMcfkeSRAZjROcAazvRqiHq1434BWt/U4jmW6GV1yB9ybo90Zf41MMBe3Rwpki/vacJnjazN0DwAAAO9LJpOaO3eu7rnnHv3v//6vbNuWbduEj4uY+bne/NyP7KkNl6m7b/MFv8yxAAAAgNEijA7AM2pCzofDNKMDAAAA+RGJRPTJJ5+ot7c330MBMqLRCFG3dvcr1tWn2srCeMi/bL07XN9QH87465ih/qUebZh3NQsWSJjDDNVz3wQAAMA/Vq5cqfvvv18PPPCA1qxZI0mybVuSVFlZqX/7t3/L5/CQR4W6mNYPzN2nmGMBAAAAoxfI9wAAYCNzpX+M1ecAAABAXpx33nmybVs/+tGPlEwm8z0cYMwm1YYUDDibBpsKqB292QiFb11drnBZ5jsozFD/spauwQCNl7ibBQsjzGGGUlrj3DcBAADwuvnz5+uEE05QY2OjbrzxRq1evXqwDf3AAw/UfffdpzVr1uiBBx7I91CRJ+b8hTB67rjmWDybBgAAAEaNZnQAnmE+HG6Ls/ocAAAAyIerr75a0WhUv/71r7XzzjvrhBNO0PTp01VXV6eKiophf/aII47I0SiB9AVLApo8Puxo8m6OdmmfybV5HFXmmA3ljfWVQ5w5Ng3Gdbv7BvRpR6+2rh7+vwu5Zi5uL5RmdHMRv9kADwAAAG/49NNP9cADD+j+++/XsmXLJG1qQbcsS5deeqm+9a1vabfddsvnMOER5ud683M/ssecK7bybBoAAAAYNcLoADyjxmxG72L1OQAAAJAPGwPnlmWpqalJt99+e1o/Z1mWEolEFkcGjF5DfaUjtN0ULdxm9GyF0beprlBFaUA9/Zt2TFi6rstzYXQzzBEJFUazoBmU4L4JAACAtyxYsED33HOP5s6dq/7+/sEAemlpqQ444AC9+uqrkqRbb701n8OExxTqYlo/MIvS2LUbAAAAGD3C6AA8wz3hZ/U5AAAAkA8bH5gDhaShzhnQLqwwerfja/N3zZRAwFJDXaX+ubZj02u3dOmgHeqy8nqj1Rp3BghqKwsjzGGG6s3fEwAAALkXi8X04IMP6t5779VHH30kadOceu+999Y555yj008/XStXrtTee++dz6HCo8zP9ZFwYSym9YNIiN2nAAAAgEwhjA7AM8xt59p4qAoAAADkxYIFC/I9BCDjGic4A9rNLYUTRl+ao2Z0Se4wugdD/ebi9kIJc9RWGmF0ghIAAAB59fWvf12PPvqoent7BwPo22yzjU4//XSdc8452mOPPQbPXblyZb6GCY8zP9eb5V3IHnOu2EozOgAAADBqhNEBeEYNzegAAACAJxx++OH5HgKQcY1mM/q6Ltm2Lcuy8jSizOjo6Ve0s9dxLJthdDPUbwbhvcAMEJhtd34VMRbxc98EAAAgv/7rv/5LlmVpwoQJOv7443Xqqafqi1/8ogKBQL6HBh9xL6YtjPmLH5hFaTHC6AAAAMCoMRMG4BmpJvwbmyQAAAAAABiLhvqw4+uuvgGtM0LcfrSspdvxtWVJ248PD3H22Jmhfi82oxdqs2Ak5Pw9evqT6ukfyNNoAAAAsNG4ceOUTCbV1tamnp6efA8HPuNeTFsY8xc/cDejs+AXAAAAGC3C6AA8w3w43JdIqqc/mafRAAAAAMXhK1/5ik4++WT19fHADYVtYk1IZUHnrbDmaPcQZ/uH2Uy+XSSkitKSrL1eg9G6vmx9t5JJ7ywkTyZttcWNMEeBNAuai/gltpEHAADIp29/+9saN26clixZogcffFCnnXaaJkyYoNNOO03z589XMskzLgwvMZBUR0/Ccay2sjDmL35gzhWZXwEAAACjRxgdgGek2jabLacBAACA7JozZ47mzJmjRCKR8vu2bevdd9/Vu+++m+ORAZkVCFhqqHM2hjdFO/M0mswxm8kbjbB4ppnX70sktbotntXXHIn2nn6Z2Xiz7c6vqkOlsiznMe6bAAAA5M+9996rtWvX6j//8z912GGHSZLi8bgeffRRHXfccdpuu+30/e9/X4sXL87zSOFVrXF3+LlQ5i9+YBalxfsH2H0KAAAAGCXC6AA8Y1xFUAEeqgIAAACe0t3drenTp2ufffbJ91CAMWuocwapmwqgGd0Mo5u/Y6bVV5WpqjzoONZkjCGfUjXZpWoU96OSgKXqCnMbeZr7AAAA8qmiokJnnXWWFixYoCVLluiaa67R9ttvL9u29cknn+jWW2/V9OnTdeKJJ+Z7qPCgVJ/nU5V3ITtS7aLFHAsAAAAYHcLoADwjELBck/42JvwAAACAJ9i2veWTAI9rnOAMaptBbj9amuNmdMuy1FDvbJj30vtoLmovDwYUKivJ02gyz2zua2URPwAAgGc0NDTohhtuUFNTk/70pz/p3/7t31RWVibbtrVs2TJZ/7fNzRFHHKEHH3xQHR0deR4x8s38PF9ZVqKyIBGOXKlJsftUa5w5FgAAADAazGQAeEok5HyoGiOMDgAAAADIkEZXM7p3QtSj1dyS2zD6hteocnztpYZ5s8Wu0La4Nxfxc98EAADAeyzL0pFHHqk//OEPWrNmje666y7ts88+sm1btm3rpZde0je/+U1ts802Ov300zV//nwlk8l8Dxt5YH6eT9XUjexJtftUrIs5FgAAADAahNEBeIr5kNhsNAMAAAAAYLQajKB2c0uXkkn/tv7Huvpc4Wvzd8yGxjpnM3pTtDPrr5kus8WutsDCHOZ9E1r7AAAAvC0Sieg73/mO/v73v+udd97Rd7/7XY0fP162bSsej+uRRx7Rcccdp+222y7fQ0UemM3ohbaY1g9ccyyeTQMAAACjQhgdgKeYD4nb4qw+BwAAAABkxlQjqN2bSGpte0+eRjN2TUYrejBgaVJtKOuv6w71e6cZ3WyxK7Qwh3nfxFyMAAAAAO/ac889dccdd2j16tV69NFHdcwxxygQCMi2bX366af5Hh7ywPw8X2iLaf3AbKNv5dk0AAAAMCqE0QF4So3ZjN7F6nMAAAAAQGZMGFeuyrISx7HmaNcQZ3ufOfbtx4dVWpL9232NRhh9xfpu9Q8ks/666XA1C4YKK8zh2lGO+yYAAAC+U1paqpNPPlnz5s3T8uXLdeONN2rHHXfM97CQB+YO0YW2mNYPatm1GwAAAMgIwugAPMVc8R+j4QsAAAAAkCGWZWlKnTNIvbSAwugNdeGcvK4ZRk8kba2MxXPy2ltittjVVhZWmMMM19PaBwAA4G/bbrutfvSjH+nDDz/M91CQB+bnecLouRcJOd9zdp8CAAAARocwOgBPMVeft8VZfQ4AAAAAyJzGCc4gtZ+b0c0gfWN9VU5eNxIuc4UkvPI+movazS3X/c4M15tN8AAAAAD8w/w8b5Z2IfvMOSNzLAAAAGB0CKMD8JQamtEBAACAvLAsK99DAHKi0WhGb27xRoh6NMyxN9bnphl9w2s538cmj4TRzeCA2XLnd2ZQgvsmAAAAgH/Fugp7Ma0fsGs3AAAAkBnBfA8AADZnNqPHWH0OAAAA5MRuu+2WMpBu2/bg36dOnTrsNSzL0pIlSzI+NiCTGowQtdku7he2bas52u04Zv5u2dRYV6m3l7cOfu2dMLozOFBozYJsIQ8AAAAUjta4EUYvsMW0fmDu+kUzOgAAADA6hNEBeIr5kLiNh6oAAABATixbtmzY79u2rebm5mHPoV0dfmA2eq9Y363EQFLBEn9tILius1edvQnHMfN3yyYz+O6VhnlzUbsZLPA7875Ja3efbNvmv78AAACAD5nB59rKwpq/+IE7jM6zaQAAAGA0CKMD8JQas+Er3s9DVQAAACCLDjvsMD5vo6iYge3+AVurW3s0uS6cpxGNjtmKXhYMaGJNKGevb76PXm1GL7Rt7s2gRCJpq7M3oXEVhFYAAAAAv3Evpi2s+YsfmAt+Y4TRAQAAgFEhjA7AU2ornRP+gaSt9p6EK6QOAAAAIDNefPHFfA8ByKnacKmqK4Jq79nUKr402unDMLoz/D1lfFiBQO4Wlphh9FWtcfX0D6iitCRnYzD1DyRdbfG1BdaMnqrpvbW7nzA6AAAA4DM9/QPq6U86jkV4Hppz7mZ0dp8CAAAARsNf+w8DKHipHhK3sQIdAAAAAJAhlmW5gtRmsNsPmlqcYzZ/p2xrMF7PtqUV67uHODs3Um2nXmjNglXlQQWNRQdsIw8AAAD4T6rP8WZLN7LPfM8TSVtdfQN5Gg0AAADgX4TRAXhKqLREZSXO/zSZW9QBAAAAADAWrjB6S35D1KPRtC6/YfSq8qAmjCt3HGvKc6i/NcX9g0Lbac2yLFfAnvsmAAAAgP+Yn+MtS6ousPmLH6TafSrWxRwLAAAAGCnC6AA8ZcNDVeekn4eqAAAAAIBMMlu9l/qwGb3ZaEY3f6dcaKxzvmbew+hxZ7NgVXlQZcHCu/3p2kY+TjM6AAAA4DdmM3p1RalKjF2QkH3sPgUAAABkRuE9jQHge+Z2aG08VAUAAAAAZJCrGd1nYfRk0naF0XPdjC5JDfVhx9fmmHLNbK9L1XBXCGrNMDqL+AEAAADfMT/Hm5/zkRupitJa48yxAAAAgJEijA7Ac2rMZnS2QgMAAAAAZJAZ3F4Z61ZfIpmn0Yzc2vYe9fQ7x5uPMHpjfZXj67w3oxvtdYUaRo8Yi/hjXSziBwAAAPwm5pq/lA1xJrLNNceiGR0AAAAYMcLoo/Dee+/pggsu0C677KJwOKxwOKyddtpJ5513nt57770t/vySJUt08cUXa+edd1Y4HNa4ceO033776Re/+IV6enrGNLZXXnlFX/nKV7T11lurvLxckyZN0mmnnaa//vWvY7oukEvmyn8m/AAAAACATGowgttJW1q+vjtPoxk5s8k9XFaircaV53wcjUYzet7D6HGzWbAwwxyREK19AAAAgN+Zn+MLdTGtH7jmWOw+BQAAAIwYYfQRuuuuuzR9+nTde++9+te//qV4PK54PK6PP/5Y999/v6ZPn6577rlnyJ9/8MEHtfvuu+vuu+/WRx99pHg8rs7OTr311luaNWuWDjroILW0tIxqbHfffbcOO+wwPfnkk/r000/V19enVatW6ZFHHtEhhxyiX/7yl6P9tYGcMh8Wt8UJowMAAAAAMqe6olR1lc65pxnw9rKmFudYG+oqZVlWzsdhhvo/ae9Vd18i5+PYqFiaBWuN/+2ajfAAAAAAvM/8HF+oi2n9wJw7MscCAAAARo4w+gg89dRTuuSSS5RIJLTnnnvqySef1Nq1a7VkyRI99NBD2n777ZVIJHTRRRfpmWeecf38/Pnzde6556q3t1e77bab5s6dq7Vr1+rDDz/UFVdcIcuytGjRIn3jG98Y8djmzZunSy65RLZt6+ijj9bf/vY3RaNR/eUvf9EhhxyiZDKpWbNm6emnn87EWwFkVY2rGZ3V5wAAAACAzGo0gtTNLT4Ko69zjtX8XXJlynj36zZH89cwb7bXme12hcJsTOS+CQAAAOA/sS6a0b3CvWs3cywAAABgpAijj8BVV10lSdpll1302muv6cQTT9TWW2+tqVOn6owzztCiRYs0ZcoU2batWbNmOX62t7dXF110kWzb1h577KGXX35ZX/7yl7X11ltr55131i233KIrrrhC0obQ+3vvvZf2uGzb1g9+8AMlk0kdfPDBeuqpp3TAAQeorq5Ohx56qP785z/rwAMPlG3b+t73vqdkMpm5NwXIAnPlv9lsBgAAAADAWJmt3kt91IxuBucb6sN5GUeorEQTayocx5ry+D66mwULM8wRCdHaBwAAAPhdq7EztPk5H7ljLgRgjgUAAACMHGH0NL3//vt6//33JUk//OEPVVVV5Tpn/Pjxg4Hy9957T8uWLRv83lNPPaXm5mZJ0j333KPx48e7fn5jO3p5eblef/31tMf27LPPDobXr7/+egWDQcf3y8vL9e///u+SpA8//FAvvfRS2tcG8sF8WNzG6nMAAAAAQIa5mtF9FEY3A9+N9e77VLlihvrz2TBvtteZW60XCvO+idkIDwAAAMD7zM/xtZWFuZjWD8y5I3MsAAAAYOQIo6epqalJ1dXVkqQDDzxwyPN23HHHwb+vXr168O+PPPKIJGnGjBk6+OCDU/7sxIkT1dnZqZ6eHn3zm99Me2zz58+XJFVXV+vwww9Pec6hhx46GICfO3du2tcG8qEmRDM6AAAAACC7/BpGTwwktXx9t+NYY56a0SV3GN1LzeiFus29GZTgvgkAAADgP+bn+EJdTOsH7NoNAAAAjB1h9DQde+yxamtrU0dHh3baaachz/voo48G/15bWzv49zfeeEOSdMQRRzjOt21bAwMDg1+HwyN/eLho0SJJ0mc+8xlXK/pGgUBAe+21lyTprbfeGvFrALlkNnyZzWYAAAAAAIxVQ50zRL26rUfxvoEhzvaO1a096h+wHcfM3yWXpno4jG4GCgqFGbJv7+nXQNIe4mwAAAAAXuRaTBsqzMW0fmDOsWhGBwAAAEaOMPoIVVVVqaSkJOX3BgYG9Jvf/EaSNGHCBO28886SpPb2di1fvlyStNNOOymRSOiuu+7SPvvso4qKCpWVlWnXXXfVTTfdpHg8PuIxLVu2TJLU0NAw7HlTpkyRJDU3N4/4NYBcqq10Pizu6EkoMZDM02gAAAAAAIWoIUWb+LL13m9Hb2pxjrG6IqjxlfkLXZtB+Hw2zJuL2Qu1Gd0M2du21B6nuQ8AAADwC9u2XYHnQl1M6weuMDrzKwAAAGDEUtdoY1Ruvvlm/eMf/5AknX/++QoENmT9165dO3hOaWmpDj30UL3++uuOn/3nP/+pH/3oR/rjH/+oZ599VltvvXXarxuNRiU5m9hTqampkSTFYrG0ry1JK1euHPb7a9asGdH1gC1JtfK/Ld6vuqryPIwGAAAAAFCIwmVBbVNdobXtPYPHmqNdmrZNdR5HtWVN6zodXzfWV8qyrDyNRmowmtFbuvrUFu9XTY5b/eJ9A+pNOBeyF+o296lC9rHuPtfifgAAAADe1NmbUMLY3ahQF9P6gbkQoC2+YfepkkD+5toAAACA3xRVM/p1110ny7JG9Oecc85J69qPPfaYrrnmGkkb2s9nzZo1+L2Ojo7Bv1955ZV6/fXX9a1vfUsffPCBent7tWTJEl122WWSpEWLFumUU06Rbae/tW5Pz4aHpqFQaNjzNn5/pO3r22+//bB/DjjggBFdD9iSVA+LY92sQAcAAAAAZJbZjr40j63e6Wpu6XZ8bYbBc23y+LDM5/P5aEdvjbu3Ua8t0DBHRWmJKkqdt3Vp7gMAAAD8ozXFc0/C6PljvvfsPgUAAACMXFGF0bPlkUce0emnn65kMqnq6mo9/vjjGjdu3OD3u7s3PSRcs2aNrr76at1///2aNm2aysrKNHXqVN1222366U9/Kkl65ZVX9Pjjj6f9+iUlJZK0xRasjQH3jY3tgFeVBQOqLCtxHGtL8VAZAAAAAICxaDSC3PkIUY9UkzFG83fItbJgQJNqnaH+5pbcv4+xLmdQwLKk6orCDXOYzX2t3dw3AQAAAPzCDKMHA5aqytnUPl/M+ZXEgl8AAABgpIpqRnPxxRfrtNNOG9HP1NTUDPv9O+64Q1dccYWSyaTGjRunefPmac8993ScEw5veiBXX1+va6+9NuW1Zs2apTvuuEPRaFSPPfaYTjnllLTGWFVVpVgstsXG840N6hUVFWldd6MVK1YM+/01a9bQjo6Mi4TL1NW36X/T5kNlAAAAAADGyh1G7x7iTO/wWhhd2tDOvnz9pvfOHGMumGHsmlCpAgW8pXokXKY1bT2DX3PfBAAAAPCPmDF/iYTLtlg8h+zZuPtUT39y8Fisu0+Nyv98GwAAAPCLogqj19fXq76+PiPXGhgY0CWXXKJf//rXkqS6ujo988wzKUPZm7ekz5gxQ+Xl5SmvWVZWpgMPPFDz5s3T+++/n/ZYampqFIvF1NbWNux5ra2tkjTi92DSpEkjOh/IhEi4VKtaNwuj0/AFAAAAAMiwhjrng+WlHm9G70sktTLmDMybv0M+TK2v1F/+tW7w67yE0Y3WulTNdoUkEnK2vtPaBwAAAPiH+fk9Ei7cXZ38IhIq09r+TQt+2X0KAAAAGJlAvgfgR52dnTrhhBMGg+hTp07Va6+9NmQ7+OTJk1VSUiJJCoVCw157YxP7llrON7fzzjtLkpYvXz7seRu/P2XKlLSvDeSL+dC4jYeqAAAAAIAMM1vFo5296ujx7vxzRaxbSdt5rMELzeh1YcfXzXkIo7ubBQs7zFFbaYTRCUoAAAAAvmF+fq8t8PmLH5hzyNZu794bAAAAALyIMPoItbW16YgjjtC8efMkSQceeKD++te/DgbCU6moqNAuu+wiSVqyZMmw1//kk08kSdttt13aY9prr70kSe+8845s2055TjKZ1DvvvCNJmj59etrXBvKlxpjw04wOAAAAAMi0yXVhmTuhL2vpTn2yBzStc4a86yrLVBPKf2jBDMQ3RbuGvEeVLWZQwGwOLzQRYxE/900AAAAA/4h1mc3ohb2zkx+YYfQYYXQAAABgRAijj0BPT49mzpypN998U5J0/PHHa8GCBdpqq622+LPHHnusJOmtt94aMpDe3t6u119/XZJ00EEHpT2umTNnSpJaWlr02muvpTznL3/5i2KxmCTp6KOPTvvaQL6YDQBM+AEAAAAAmVYeLNF2Eecudkvz0OqdruYW59i80IouSVPrqxxft/ckcj6PdzcLFnaYwwzb09oHAAAA+Edr3NjZqcAX0/qBOYdk9ykAAABgZAijj8D3v//9wbD3ySefrCeeeEKhUGgLP7XBueeeq2AwKNu2ddFFF6m/3/2A6Oqrr1ZXV5cCgYDOPvvstMd1+OGHa8qUKZKkH/zgB+rrc06Ment79YMf/ECStPvuu+uoo45K+9pAvpgT/jYeqgIAAAAAsqDRCHQ3eziM3mSMraHOG2H0iZEKlZY4K+abop05HYMZfi/0ZkF3UIL7JgAAAIBfmJ/faysLe/7iB+YckjkWAAAAMDKE0dO0ePFi3X333ZKkHXfcUXfffbd6enrU2dk55J+BgYHBn582bZquuuoqSdJzzz2nz3/+83r++ecVjUa1ePFiff3rX9evfvUrSdJll12mXXfd1fH6b7zxhqZNm6Zp06YNnrdRIBDQbbfdJkl69dVXdeSRR+rVV19VS0uLXnnlFX3xi1/UG2+8IcuydNNNN8ky958GPMjcZpztpgEAAAAA2eDnMPrUCd4IowdLAtp+fNhxrCnandMxmK115hbrhca9hTz3TQAAAAC/MD+/F/r8xQ+YYwEAAABjE8z3APzizjvvlG3bkqSPP/5Y22yzzRZ/ZsGCBfrc5z43+PUNN9ygrq4u3XbbbXr11Vf1pS99yfUzZ5xxhn7+85+7jnd3d+vDDz+UJEWjUdf3TzrpJN1www368Y9/rL/85S865JBDHN+3LEu33367jj/++C2OG/ACs+Er19t7AwAAAACKg9kuvtTDYXQzKO+VZnRJmlpfqaXrNo0v16F+V7NggYc5aO0DAAAA/Mv8/B4J0Yyeb+YckjkWAAAAMDI0o6fp9ddfH/M1LMvSrbfeqldffVWnn366Jk2apLKyMm277bY6+uij9cQTT+ihhx5SeXn5qK5/7bXX6uWXX9bJJ5+srbfeWsFgUBMmTNAJJ5ygBQsW6JJLLhnz7wDkSm2lc8LfxupzAAAAAEAWuJrRW7wZRu/pH9Dqth7HsYb68BBn554ZjDdb3LPN3SxY2GEOd1CC+yYAAACAX5if3wt9Ma0fuBb8xpljAQAAACNBM3qaFi9enLFrzZgxQzNmzBjRz3zuc58bbGYfziGHHOJqRQf8qCZEMzoAAAAAIPvMMHprd79iXX2qrfRWmDlVSN5LzegN9fkNo7uaBQs8zGEGJbr6BtSXSKosSPcIAAAA4HXmc89CX0zrB5GQcw4Z6+LZNAAAADASPJ0A4ElmA0C8f0A9/QN5Gg0AAAAAoFBNqg0pGLAcx5o82I7ebIS7t64uV2W5d3ompqZomE+nWCETbNtWa9wZFKgt8DBHqrA9zX0AAACA9w0kbbX3FNdiWj8wF6S3xQmjAwAAACNBGB2AJ6V6aMykHwAAAACQacGSgLYfH3YcM4PfXtAU7XZ87aVWdMndjN7dN6BPO3pz8todvQkNJJ3B90IPc5itfZK7HR4AAACA97TH+2Wu2y30xbR+YBaldfYm1JdI5mk0AAAAgP8QRgfgSdWhUlnOYjrFumn4AgAAAABkXqPZ6u3JMHqn4+upE7wVRt+mukLlQeetxqYcvY+tKbZPL/Rt7oMlAY0zmvFjXdw3AQAAALwu1fPOQl9M6wc1Ifcckt2nAAAAgPQRRgfgSSUBS9UVzhsvNHwBAAAAALLBbBlvauke4sz8afZ4M3ogYOUt1G8GBEpLLFWWleTktfMpUmncN2FHOQAAAMDzzM/tFaUBVZQW/vzF61ItCGjj2TQAAACQNsLoADzL3A6tlWZ0AAAAAEAWNNaHHV+bLeRe0NTiDHY31HsrjC6lCPXnKIweMwICkXCZLHO7tQJUa7S/c98EAAAA8D7zc7v5uR75UZpq9ynC6AAAAEDaCKMD8Kwa4+YLE34AAAAAQDY01lc5vm6Odsu27TyNxq2jp1/rOnodx6Z6MYxen58wuhnmiISKY4v7GuP35L4JAAAA4H2xLvdiWnhDTdicY7HgFwAAAEgXYXQAnuVuRuehKgAAAAAg8xqMZvTO3oSind556LyspdvxtWVJ248PD3F2/pgB+eaWXIXRnfcLiqVZ0N2Mzn0TAAAAwOta40YYvUgW0/qBOcdqY44FAAAApI0wOgDPYrtpAAAAAEAuTKwJqSzovE2Wq1bvdJhjmVgTUkVpSZ5GMzSzGb25pVvJZPYb5s22uki4OMIc7kX83DcBAAAAvM783F5bWRzzFz8w55I0owMAAADpI4wOwLPc200z4QcAAAAAZF4gYKmhztk03uzhMPrUCZVDnJlfZsN8XyKp1W3xrL+u2QheLGH0GmMRP/dNAAAAAO9zL6Ytjp2d/MD8t4jRjA4AAACkjTA6AM9iu2kAAAAAQK401DkD3k0t3gmjm8F4c6xeMaGqXFXlQcex5mh31l/X1SxYJGEOdzM6900AAAAAr3Mtpg0Vx2JaPzDnWG1xFvwCAAAA6SKMDsCzzG3peKgKAAAAAMiWxnojjL7OO2F0MxjfUO/NMLplWa529KZoZ9Zf12yrK5ZmQRbxAwAAAP5jfm4vlsW0fuBqRu9ijgUAAACkizA6AM+qMZoA2G4aAAAAAJAtZhi92UPN6E1GM/pUj4bRpRQN83loRo+Ei6NZsCbMfRMAAADAb8zP7cUyf/EDs6WeORYAAACQPsLoADzL1fAVZ/U5AAAAACA7zLbx5pYuJZN2nkazSWt3n6s5z6vN6JI7KJ+LUL95v8DcWr1QpbpvYtv5/98sAAAAgKGZ87ti2dnJD8xdu9t4Ng0AAACkjTA6AM9ybzfdx0NVAAAAAEBWmM3oPf1JrW3vydNoNjFb0UsClibVhvI0mi0zg/Lm+LMh1mU2CxZHmMMM3fclkor3D+RpNAAAAADSYe7sVCyLaf3AnEvSjA4AAACkjzA6AM8yt6XrH7DV1cdDVQAAAABA5m01rlzhshLHseYcBKm3xAxzTx4fVmmJd2/pmWH0Feu7lRhIZu31EgNJtfckHMeKZZv7SMgduo9109wHAAAAeFVfIul61lksi2n9IBJyziVj3ew+BQAAAKTLu0+uABS9VA+PzbYAAAAAAAAywbIsNdQZrd4t+Q+jm4H4hrpwnkaSnqlGGD2RtLUyFs/a65lBdMm901qhGlcRVMByHuO+CQAAAOBdrXH35/ViWUzrB+Zcsi+RVE9/9hZXAwAAAIWEMDoAz6oqDypoPFVtpeELAAAAAJAljUaQumld/sPoTS3djq/N5nGviYTLXGEKs909k1Jtm14TKo4wRyBguVoUuW8CAAAAeFeqz+tmGzfyJ9XC5lRzTgAAAABuhNEBeJZlWa4H2Ez4AQAAAADZYobRmz3QjN4U7XR8bTaPe5GrYT6LYXSzCTxUWqKK0pKsvZ7XuLeR574JAAAA4FWxLufn9XEVQQVLiGx4Rardp5hjAQAAAOlhZgPA02j4AgAAAADkitk6ns0QdTps21Zz1F/N6JI7MJ/NUL95n6C2yLa4Nxfxc98EAAAA8K7WuPPzuvl5HvkVCFiunbbamGMBAAAAaSGMDsDTzIfIZuMZAAAAAACZ0lgfdny9fH23EgPJPI1Ginb2qbM34Thmto57US5D/bFuM8zh3la9kJnbyHPfBAAAAPAu8/O6+Xke+Wf+m5hzTgAAAACpEUYH4Gk1ISb8AAAAAIDcaKyvcnzdP2BrdWtPnkbjDnGXBQOaGAnlaTTpy2UY3QxzFFuzYI3x+3LfBAAAAPCuYl9M6wfuORYLfgEAAIB0EEYH4GnuZnQeqgIAAADFaPHixTrrrLM0adIklZWVadttt9Xxxx+vZ599dkzX/etf/6qzzjpLjY2NqqioUFVVlXbffXddfvnlWrZsWYZGD7+oDZequiLoONbUkr0g9ZY0GyHuKePDKglYeRpN+hqN9vZVrXH1Jgay8lrmfYJiaxZ0N6Nz3wQAAABu8+fP1ymnnKJJkyapvLxc1dXV2meffXTttddq3bp1o74uc+qRMT+vR0LFtZjWD8w5VlucORYAAACQDsLoADyttpLtpgEAAIBiN3fuXO2777566KGHtGrVKvX392vt2rV6+umndcwxx+iSSy4Z1XV/8IMfaMaMGXrooYfU3Nys3t5edXV16f3339ftt9+uPfbYQ3Pnzs3wbwMvsyxLjWar97rOPI3GHYQ3G8e9qqE+7PjatqXlLd1ZeS2zpa7YmtHdi/i5bwIAAIBNEomEzjzzTM2cOVOPP/64Vq1apb6+PnV0dOjtt9/WjTfeqD322EN//etfR3xt5tQjZ35eNz/PI//MOWWsizkWAAAAkA7C6AA8rSbEVmgAAABAMVu4cKFOO+009ff3a//999eLL76oaDSqN998UyeccIIk6a677tLdd989ouv+6le/0s033yxJOvTQQ/X8889r3bp1+uc//6lf//rXGj9+vDo7O/XVr35VixYtyvSvBQ8zw+jNWQpRp6NpnTOMPtUnYfRxFaWqryp3HGuKZqdh3tUsWGRhjhqjtY/7JgAAANjcVVddpd///veSpBNOOEGvvvqqotGo3n33Xd10000Kh8P69NNPddxxx2nVqlVpX5c59ei4F9MW185OfhAJmXMsmtEBAACAdBBGB+Bpru2m2QoNAAAAKCrXXHONenp6tMMOO+iFF17Q4Ycfrrq6Ou2333568sknddJJJ0mSfvzjH6u9vT2ta/b29urHP/6xJOnwww/XCy+8oC9+8Yuqr6/XLrvsogsvvFBvvvmmampq1Nvbq2uuuSZrvx+8x2wfz1aIOh3NPm1Gl6RGox3d/F0ypTVuNgsWV5jD1YzOfRMAAAD8n9WrV+uOO+6QJJ1xxhmaM2eOZsyYobq6Ou2555666qqrtGDBAgWDQa1fv1433XRTWtdlTj16xb6Y1g/MOVZbnAW/AAAAQDoIowPwNPMmjHmTBgAAAEDh+uCDDzR//nxJ0g9/+ENVVVU5vm9Zlm699VZZlqX169fr8ccfT+u6//u//6tYLCZJuv766xUMBl3nTJ06Veeee64k6fnnn1d/P3ORYmE2o+crjJ5M2u4wep2fwui5eR9jXWaYo9jC6MYifu6bAAAA4P/MmTNHiURCkvSzn/0s5TkHHHCAjj/+eEnSvHnz0rouc+rRMz+vF9tiWj+IVNKMDgAAAIwGYXQAnmaG0dluGgAAACgeG4PolmUNPhw3NTQ0aK+99pIkzZ07N63rrlixQpWVG4KyBx544JDn7bjjjpKkvr4+RaPRtMcNfzND1Ctj3epLJHM+jrXtPerpd77u1An+CaPnqmG+1dzmPlRczYI1IXMRf5+SSTtPowEAAICXrF69WqFQSFtvvbWmTJky5Hkb576rV69O67rMqUfPfM5JM7r3mHNKnk0DAAAA6SGMDsDTzEaAtng/D1UBAACAIrFo0SJJ0qRJk7TVVlsNed7ee+8tSXrrrbfSuu7555+vzs5OtbW1qaKiYsjzPvroo8G/RyKRtK4N/zND1ElbWhHrzvk4mo3wdrisRFuNK8/5OEar0Whxb45m5z1sjRvNgpXFFeaoNVr7krbU0ZvI02gAAADgJTfeeKO6u7v1r3/9a9jzNs59a2tr07ouc+rRsW3bNX8ptp2d/MD1bJpmdAAAACAthNEBeJrZCGDbUnsPk34AAACgGCxbtkzShvbz4WxseFu1atWItv6urq4e8nudnZ36/e9/L0naZ599FAqF0r4u/K26olR1RsC3aV12Wr2H09TifM0pdZWyLCvn4xitRqPFfW17j7r7MhuS7k0MqLtvwHGs2MIctSmaFM22eAAAABS34ea+K1as0DPPPCNJOvjggzN2XebUbvH+AdeuW6k+zyO/zGfTrfF+2TZFaQAAAMCWBPM9AAAYjrn6XJJi3f1F93AZAAAAKEYbt/HeUjtbTU2NpA0tY21tbaqvrx/za1955ZVat26dJOmiiy4a8c+vXLly2O+vWbNmVONCbjTWV6qla1Ogt7klD2F0IwA/1Whs97op493jbY52a7eJQwdWRqo1RUOduaV6oQuVlqisJKC+gU2hllh3v6bU5XFQAAAA8IVkMqnzzjtPfX0b5j6jmfsOZSxz6kKdT8dSzV943uk5Zhh9IGmrvSehmiKbawIAAAAjRRgdgKdVlJaoojSgnv5ND1U3NHz56yE8AAAAgJHr6emRpC02qG3+/Xg8PubXvfXWW3XfffdJ2tAMd84554z4Gttvv/2Yx4H8aaiv1N+XxQa/bormPoxuBuAb6sM5H8NYhMpKtG1Nhda09Qwea27pynoYvdgCApZlKRIu1acdvYPHaEYHAABAOi6//HI9++yzkqTTTjtNX/jCFzJy3bHOqQt1Pm1+Tg9Y0rhy4hpek6oora27v+jmmgAAAMBIBfI9AADYkkjIOelP9bAZAAAAQOEpKSmRtCFsOZzNt0sOBMZ2q+OWW27RlVdeKUnabrvt9Mc//nFwHCgejUYLeT7C6OZrNtT5b1F2tt/HmBHmGFcRVLCk+G53mmEJ7psAAABgOLZt67LLLtOdd94pSdpzzz11//33Z+TazKmHZn5Oj4TLFAgMf78DuRcu27D71ObMuScAAAAAN5baAvC8SLhUa9s3Nakx4QcAAACKQ1VVlaQtt51vbFCXpIqKilG9lm3bmjVrln75y19Kkrbddlv9+c9/1sSJE0d1vRUrVgz7/TVr1uiAAw4Y1bWRfWaIujnHYfTEQFLL13c7jk2d4L8wekN9pV5b0jL4dabD6GazYKoGu2JQY2wjz30TAAAADKW3t1fnnnuu/vu//1uStOuuu+q5554bnH+PVibn1IU6nzY/p0fCNG17kWVZqgmXat1mu08xxwIAAAC2jDA6AM+j4QsAAAAoTjU1NZKktra2Yc9rbW2VtKEVvba2dsSv093drTPPPFNPPvmkJKmxsVHPPfecdtxxxxFfa6NJkyaN+meRf2YL+eq2HvX0D6iiNDeNfqtbe9Q/YDuO+bIZvS67oX7z/kBtkYY5zN+b+yYAAABIJRqN6sQTT9Srr74qSdp33301f/58TZgwYUzXzfSculDn065m9FBxzl/8oNYIo7fFmWMBAAAAW1J8+9YC8B2zGcBsPgMAAABQmHbeeWdJ0vLly4c9b+P3t99+ewUCI7vV8cknn+hzn/vc4EPzfffdV3/961/HFESH/zXUh13Hmlty147eZLzWuIqgxlf6r/Xb1TCf4fcwZoQ5aoq0Gd29iJ/7JgAAAHD66KOPdNBBBw0G0Y8++mi9+OKLYw6iM6dOHzs7+UfE+LeJdTHHAgAAALaEMDoAz3NN+Gn4AgAAAIrCXnvtJUlqbm4ebD9PZeHChZKk6dOnj+j6K1eu1IwZM/Tmm29Kko477ji99NJL2nrrrUc1XhSOcFlQ21RXOI5lutV7OE3rOh1fT62vlGVZOXv9TGkwwujRzj6192RuTu8OcxRns2CN8Xtz3wQAAACbe/fddzVjxgx9/PHHkqRvf/vbeuqpp1RVVTWm6zKnHhnzc7r5/BPeYbbWM8cCAAAAtowwOgDPc203zVZoAAAAQFGYOXOmJCmZTGrevHkpz1m6dKkWL14saUOzW7qi0ai+8IUvaOnSpZKk888/X3PmzFFlZeUWfhLFwmxHb4p25+y1m1ucr2WGuv1i8viwAkaGPpOhfnOb+2JtFnQ1o3PfBAAAAP/n448/1pFHHqloNCpJ+ulPf6r77rtPwWBwTNdlTj1y5vzF3Bka3mHOsdqYYwEAAABbRBgdgOeZN2PYbhoAAAAoDo2NjTrkkEMkSddff73a2toc37dtW1deeaVs21Z9fb3OOuustK997rnn6l//+pck6dJLL9U999yjkpKSzA0evtdoBMCbop1DnJl5TUZgu6HOn4GOsmBAk2rNUH/mwugx4/5ATag4wxyuRfzcNwEAAICkvr4+ffWrX9Wnn34qSbrtttt0zTXXZOTazKlHjp2d/CNSaTajM8cCAAAAtmRsS54BIAfMbeqY8AMAAADF47bbbtOBBx6ojz76SIceeqh++ctfap999tHy5ct1ww03aO7cuZKk6667ztXANm3aNEnSAQccoN/97neDx59++mk99dRTkqQZM2bo+uuvV2fn8EHjyspKWZY17DkoLGYYvTmHzehmYHvqBH+G0aUNre7L12967zIZRnc3oxdnmKMmxH0TAAAAuN13331auHChJOnUU0/Vt771rS3Ofauqqgb/zpw6s1yLaYt0Zyc/iLjmWDSjAwAAAFtCGB2A57m2m2bCDwAAABSN/fbbTw888IC+/e1va/HixTrqqKNc51xxxRX6zne+4zr+4YcfSpK22WYbx/E77rhj8O+vvfaaIpHIFsfR1NSkhoaGkQ0evma2kTe1ZC5EPZy+RFIrY87gu1+b0SWpsS6sv2z2dXMmw+hxo1mwsjjDHO5mdO6bAAAAwDn3ffTRR/Xoo49u8Wds2x78O3PqzGqNs5jWL8x/mzYW/AIAAABbFMj3AABgSyI8VAUAAACK2jnnnKOFCxfqrLPO0qRJk1RaWqra2lodeeSRevLJJ3XLLbeM6Hqvv/56lkaKQmI2o6/r6FVnbyLrr7si1q2k7TzWUO/jMHq9GerPXMO82U5XEyrOMIcZwu/oSSgxkMzTaAAAAOAFLS0t+vjjj7NybebUo+Pe2ak4F9P6gXvXbp5NAwAAAFtCMzoAzzNXn3f2JtSXSKosyHoaAAAAoFjsueeejm3B07F5o9vmOjo6MjEkFLjJdWFZlrT5/4yao13aY7uarL6u2RxeV1nm65C1GaRvWtcp27ZlWdaYrmvbtlqNdrpiDXNEUvzvoy3er7qq8jyMBgAAAF5QV1c35Jw4XcypMyeZdM9f/DzPK3RmUVqMZnQAAABgi0hyAvA8c/W5tOGhKgAAAAAA2VIeLNF2kZDjWJMRFM8G8zX83IouuZvR23sSGWmV6+4bUP+AMxxTtGH0FL83zX0AAACAd3T0Jlw7YJk7HME7zLklu08BAAAAW0YYHYDnpWoGMNsDAAAAAADINDNIbbaWZ4MrjF7n7zD6dpGQSkucLeiZCPWnaqarCRdns2BZMKDKshLHMe6bAAAAAN6R6vO5uTM0vCPVvw1FaQAAAMDwCKMD8LzSkoDGlQcdx2j4AgAAAABkmxlGz0UzenOL8zWmTvB3GD1YEtD248OOY5l4H1uN+wIlAUvVFcEhzi58Zju6+f4AAAAAyB/zuWZZSUCh0pIhzka+pVrozLNpAAAAYHiE0QH4QqTSOemn4QsAAAAAkG1mK3lTSw6a0dcVVjO6JDXWZb5h3gxbR0KlsixriLMLX8QIS6RqjgcAAACQH+ZzzUi4uOcvXlceLFHY2H2qLc4cCwAAABgOYXQAvhAJ0fAFAAAAAMgtsxk9EyHq4fT0D2h1W4/jWEN9eIiz/cPVMJ+BUL8Ztk7VXFdMamlGBwAAADzL/Hxufn6H95j/RrEu5lgAAADAcAijA/AFGr4AAAAAALlmhqhj3f1Z3alrWUu361ghNKM3mGH0dZloRnf+OxR7mMMM47fS2gcAAAB4Botp/acmxLNpAAAAYCQIowPwBVfDV5zV5wAAAACA7JpUG1Iw4Nw6vSmL7ehN0U7H11tXl6uyPJi118sVV8N8S5ds2x7TNd3NgsUd5jB//xjN6AAAAIBnMH/xn9pK579RG8+mAQAAgGERRgfgC2Yzejab6AAAAAAAkKRgSUDbjw87jjW3ZDOM7mxGL4RWdMkdRu/uG9C6jt4xXdMMW9eEirsZ3bWIn/smAAAAgGews5P/RIx/I5rRAQAAgOERRgfgC64JfxerzwEAAAAA2WcGqZvWZS+M3my0rk+dUBhh9G2qK1QedN6GXDrGhnl3mKO4mwXNLeTN5kUAAAAA+eNaTFvk8xc/iITYfQoAAAAYCcLoAHzBfKjcGmf1OQAAAAAg+8x28qaW7iHOHLsmI6BdKM3ogYDl+l3M4P1ItRpbpNdWFnezoNmsSFACAAAA8A7X/IVmdM8z/43amGMBAAAAwyKMDsAXImYYnQk/AAAAACAHGuvDjq/HGqIeTlOLEUavL4wwupSiYb5lbO+juUW62QxebGorzfsmLOIHAAAAvIKdnfzHfDZtzkEBAAAAOBFGB+ALEVfDFxN+AAAAAED2NdZXOb5uinbJtu2Mv05nb0LrOnodx6YWUBjdDNY3rRtjM3o3zYKbqwk5f38W8QMAAADe4V5MW9zzFz9wP5tmjgUAAAAMhzA6AF8wHyrzUBUAAAAAkAsNRjN6Z29C0c7ML5A2G9ctS9p+fHiIs/3H1TA/xmZ0mgWdzN8/3j+gnv6BPI0GAAAAwObci2mLe/7iB+a/URtFaQAAAMCwCKMD8IWIsd12byKpeB8PVQEAAAAA2TWxJqSyoPMW2liD1Kk0GWH0iTUhVZSWZPx18sVsmG9u6VYyObqG+WTSVlvcGeaoKfIwR6pmeBbyAwAAAPmXGEiqoyfhOFZbSTO619GMDgAAAIwMYXQAvpDqoaq5pR0AAAAAAJkWCFiaYjSUN63LfBjdbEafOqEy46+RT2bDfF8iqdVt8VFdq72nX2aOPdV9g2JSHSqVZTmPtca5bwIAAADkW2vcHWI2S7jgPRF2nwIAAABGhDA6AF8YVxFUwHyoygp0AAAAAEAONNY7g+FNOWhGb6grrDD6hKpyVZY5m96bo92julaq+wHFHkYvCViqrnCGJWJd3DcBAAAA8i3V/MVs3Yb3pJpjmjt0AQAAANiEMDoAXwgELNUYLQGtNKMDAAAAAHLADKObLeaZYAbcG+oLK4xuWZYaJ2Qm1G/ulFYWDKiilNuctWHumwAAAABeY34urywrUVmQ+YvXmc+lJXbtBgAAAIbDLAeAb5gr0GM0owMAAAAAcsAMhpst5plgBtynFlgYXXK3vTetG937aDYL1oZLZVnWEGcXjxrjvkkrrX0AAABA3pnPM2lF94cNu08FHcfYfQoAAAAYGmF0AL4RMRu+4qw+BwAAAABkn6sZvaVLyaSdseu3dve5AgqF1owupX4fR8O8H5Bq+/RiZDaj09oHAAAA5J/ZjG4+74R31VY655ptPJsGAAAAhkQYHYBvmE0BZhMaAAAAAADZYIaoe/qT+qSjJ2PXN5vWSwKWJtWGMnZ9rzCb0c02+HSZbXSptk8vRmYon/smAAAAQP65d3ZiMa1fmM+m2bUbAAAAGBphdAC+YTYFxLpYfQ4AAAAAyL6txpUrXFbiONa0bnRB6lTMhvDJ48MqLSm823aNE5xh9OXru5UYSI74OmazIGGODcxQvvk+AQAAAMg9c8eiGprRfSMSYvcpAAAAIF2F91QLQMFyNXzFWX0OAAAAAMg+y7Jcrd5NLZkLo5vB9oa6cMau7SWNxnuYSNpaGYuP+Drm/YDaSsIckvu+Ca19AAAAQP655i+E0X3D/LdqY44FAAAADIkwOgDfMFef0/AFAAAAAMiVxnpnkLo5msEweku34+sG47UKRW1lmau9ezShfjNkXROiGV1yh/K5bwIAAADkHzs7+VfEteCXORYAAAAwFMLoAHwjUknDFwAAAAAgPxrqnW3lTRkMo5vBdjP4XkgyEep3hzloFpTkCvq3ct8EAAAAyLtYl7mYlvmLX0SMuSbPpgEAAIChEUYH4Bvmw2UavgAAAAAAudJYX+X4OlNhdNu2XdcqpjD6aN5HM2RNs+AG5vtAUAIAAADIv9Y48xe/Mv+t2phjAQAAAEMijA7ANyLGtts0fAEAAAAAcqXRaEZfvr5bA0l7zNeNdvapszfhONZQV7hhdPN3G00Y3dwavYZmdEnuoERrd59se+z/GwUAAAAweq6dnSqZv/iFuxmdojQAAABgKITRAfiGOeFvjffzUBUAAAAAkBNmiLp/wNaqWHzM121ucYaxy0oCmhgJjfm6XtU4wfk+mr9/Osw2OpoFNzDvmySStrr6BvI0GgAAAABSisW0IeYvfhFh9ykAAAAgbYTRAfhGbaVzwj+QtNVhtMcBAAAAAJAN4yvLVF0RdBxrGkWQ2tS0znmNKXVhlQSsMV/XqxqNUP+qWFy9ifQD0/0DSde9gFqa0SW5w+iSFOuiuQ8AAADIl57+AfX0Jx3HmL/4h/lv1RZn9ykAAABgKITRAfhGJOS+OdPaxQp0AAAAAED2WZalxnqj1TuagTC6EWhvMF6j0DTUhx1fJ21pxfrutH++NUUTXQ1hDklSVXlQQWMhQ6r3CwAAAEBupPo8zs5O/mH+W/UPsPsUAAAAMBTC6AB8I1xWorIS53+2zK3tAAAAAADIFjMo3pSBMLoZaDcD74VmXEWp6qvKHceaoumH0dvi7vsAEba5l7RhwYTZjt6a4v0CAAAAkBvmc0zLkqpTlG/Bm1ItfGb3KQAAACA1wugAfCP1Q1UavgAAAAAAuWEGxTMRRjevUehhdElqNNrRm6Kdaf9szGgWrCoPqizILc6NIkZzn/l+AQAAAMgdsxm9uqJUJcZuRvCucSl2n2rj2TQAAACQEk9qAPiKK4xOMzoAAAAAIEfMoHhzy9jC6Mmk7bpGQ13hh9HN33EkzehmC10NrYIOtdw3AQAAADzD/Dxufl6Ht6UqSmPXbgAAACA1wugAfMXV8MVWaAAAAACAHDFD1CvWd6svkRz19T7p6FFPv/Pni6IZfYIR6h9Bw7y5Q1ptJWGOzdWEnPdNzCZGAAAAALlj7lRUYzznhPeZC6DZfQoAAABIjTA6AF9xNXyxFRoAAAAAIEcajKB40pZWxNJv9TY1rXOGsEOlJdq6unzU1/OLRlcz+gjC6K5mQcIcmzPvm9DaBwAAAORPa5xmdL8z55xtzLEAAACAlAijA/CVCA1fAAAAAIA8qQmVqq7SOS8dSau3qanF+bMN9ZWyLGvU1/MLM9S/tr1H8b6BtH7W1SwYIsyxudpK7psAAAAAXmF+Hmcxrf+4du1mjgUAAACkRBgdgK9EKmn4AgAAAADkjxmkHkmrt8kMsjfWh0d9LT9pMJrRJam5Jb33kTDH8MxwvtkkDwAAACB3Yl3Oz+MspvWfCLtPAQAAAGkhjA7AV8yHzDR8AQAAAAByqTGDYXTzZ81rF6pQWYm2ralwHEv3fTTD1Wxz72TeN6G1DwAAAMif1jiLaf3OnHO2MccCAAAAUiKMDsBXIjR8AQAAAADyyAyMp9vonYoZwE7VGF6ozN813TC62UJXQ5jDwQxKcN8EAAAAyB/XYtpKFtP6TcS14Jc5FgAAAJAKYXQAvuKe8LP6HAAAAACQO2aIujnaParrDCRtLV/v/NliaUaXpMYJ5vuYbjO62SxImGNzNWYYPc59EwAAACBfzOeYNSHmL34TMeZYPJsGAAAAUiOMDsBXaPgCAAAAAOSTGRhf1RpXT//AiK+zKhZX/4A97LULWeMom9HdYXSa0Tdnvh9t8X4NJO0hzgYAAACQTcxf/C/VHAsAAACAG2F0AL5iNqO39ySUGEjmaTQAAAAAgGLTUB92HVvWMvJ29KYWZ/h6XEVQ4yuLJ5jQYATvm1vSC6ObW6KbTeDFzgxK2LbUTlgCAAAAyDnbtl2lWoTR/ScSMpvRKUoDAAAAUiGMDsBXUm2/zQp0AAAAAECuhMuC2rq63HEs3VbvzTUbP9NYXynLssY0Nj8xW+CjnX1q7xl+ft/TP6DehHNBOmEOJ3MLeUlq5b4JAAAAkHOdvQkljF2KUn1eh7eZRWnsPgUAAACkRhgdgK+kajzjoSoAAAAAIJfMIPVowujmz5jXLHSTx4cVMLL3ZkDflKqBLtWi9WJWUVqiilLnLV+a+wAAAIDca+12P78kjO4/tZXOfzPbljq2sJAaAAAAKEaE0QH4SnmwROGyEscxc4s7AAAAAACyyQyObylEnYoZRm+oK64welkwoO1qQ45jWwr1x7qcD/wtSxpXQZjDFAk5m/u4bwIAAADknhlGDwYsVZUH8zQajJY5v5KkWIqFBgAAAECxI4wOwHfMLbjNh9EAAAAAAGSTGRxvahl5GL25pbib0SWpsb7K8XVztHvY81vjzlB1TahUJWa9Olxti6kaGQEAAABkl7lDUSRcKsti/uI3obISlQfZfQoAAADYEsLoAHzH9VA1zkNVAAAAAEDumMHxLTV6m/oSSa1Y7wxeF2UYvS7s+Lop2jns+Wao2lysjg1ci/gJowMAAAA5Zz6/jDB/8S1zjtXGHAsAAABwIYwOwHfcDV+sPgcAAAAA5I4ZHF/X0avO3kTaP78i1q2k7TzWUIRhdPN3bmoZvhndbJ+rCZUOcWZx474JAAAAkH/m5/DaMPMXvzLnWDSjAwAAAG6E0QH4jtkcwHbTAAAAAIBc2n58WObu6s0jaEc3zx1fWVaUwWpXw/y6Ttm2PcTZqZrRi+89Swf3TQAAAID8i3U5P4fXhGhG9yv3gl/mWAAAAICJMDoA3zEfNrP6HAAAAACQSxWlJdouEnIcaxpBGN081wxlFwvz927vSSg2zEN9d7MgYY5UuG8CAAAA5F9rnGb0QmHOPdl9CgAAAHAjjD4K7733ni644ALtsssuCofDCofD2mmnnXTeeefpvffe2+LPL1myRBdffLF23nlnhcNhjRs3Tvvtt59+8YtfqKenZ9TjmjlzpizL2uKfp59+etSvAXhBJETDFwAAAAAgv8wg9Uia0c0wekNdcYbRt4uEFAw4K+aHC/WbQfUawhwp0doHAAAA5J9rZ6dKFtP6lTnHGm4RNQAAAFCsCKOP0F133aXp06fr3nvv1b/+9S/F43HF43F9/PHHuv/++zV9+nTdc889Q/78gw8+qN1331133323PvroI8XjcXV2duqtt97SrFmzdNBBB6mlpWVUY3v77bdH+2sBvuJ6qBpn9TkAAAAAILfMAHlTS/ph9OYWsxk9nJEx+U2wJKDJdc7ffbhQvyvMQTN6ShGztY/7JgAAAEDOmTsU1YRYTOtX7jkWYXQAAADARBh9BJ566ildcsklSiQS2nPPPfXkk09q7dq1WrJkiR566CFtv/32SiQSuuiii/TMM8+4fn7+/Pk699xz1dvbq912201z587V2rVr9eGHH+qKK66QZVlatGiRvvGNb4x4bKtXr9batWslSc8++6w6OjqG/HPMMceM+b0A8sl82BzrYsIPAAAAAMgtsxl9uEZvU9M6M4xelZEx+VGjGeofNozONvfp4L4JAAAAkH8spi0c5tzTnJsCAAAAkIL5HoCfXHXVVZKkXXbZRa+99pqqqjY9KJw6daqOOeYY7bPPPlq2bJlmzZqlmTNnDn6/t7dXF110kWzb1h577KGXXnpJ48ePlyRtvfXWuuWWW2RZlm655RY99dRTeu+997T77runPba33npLkhQIBDRjxgzH2IBC495umgk/AAAAACC3zDD6cI3em+vpH9Dqth7HsYYibUaXpAYz1D9Mw7yrWZAwR0rcNwEAAADyj8W0hSMSMhb8MscCAAAAXGhGT9P777+v999/X5L0wx/+MGXYe/z48briiiskSe+9956WLVs2+L2nnnpKzc3NkqR77rlnMIi+uY3t6OXl5Xr99ddHNL6FCxdKkqZNm6Zx48aN6GcBv2ErNAAAAABAvpkh6lh3f1qh32Ut3e5rGe3gxWQkof62uNksSJgjFfN96eobUF8imafRAAAAAMUpZjSj1zB/8S33gl+eTQMAAAAmmtHT1NTUpOrqarW3t+vAAw8c8rwdd9xx8O+rV6/WlClTJEmPPPKIJGnGjBk6+OCDU/7sxIkT1dnZqXB45G1YG8Po+++//4h/FvAb86Fqd9+AehMDKg+W5GlEAAAAAIBiM6k2pGDAUiJpDx5rinZp78nDt3U3RTsdX29dXa7K8uK9RWeG0ZuiXbJtW5ZlOY7bts0292kyF/FLUmu8T1uNq8jDaAAAAIDiM5C01d7D/KVQ1FYaRWmE0QEAAAAXmtHTdOyxx6qtrU0dHR3aaaedhjzvo48+Gvx7bW3t4N/feOMNSdIRRxzhON+2bQ0MDAx+PZoguiS99dZbkqTddttNt9xyiw444ABVVlaqqqpKe++9t37+85+rqyu97aIBr0v5UJVJPwAAAAAgh0pLAtp+vPM+TnPLlu+9NEWdzejF3IouuRvmu/sGtK6j13VeR2/CEfyXpJoQzYKppHpfuG8CAAAA5E57vF+2c/pCGN3HIsYcq7M3we5TAAAAgIEw+ghVVVWppCR1+/LAwIB+85vfSJImTJignXfeWZLU3t6u5cuXS5J22mknJRIJ3XXXXdpnn31UUVGhsrIy7brrrrrpppsUj8dHPKZPP/1Uq1atkiRde+21+t73vqc333xT3d3d6urq0qJFi3T11Vdrr7320r/+9a/R/NqAp9SESmUUpPFQFQAAAACQcw11zjC6GTRPpTnqDKybzeDFZtvqCpUHnbcom6LuUH9binm/2U6HDUpLAhpntO1z3wQAAADInda4+/N3JMxiWr9KVZTWluLfGAAAAChmhNEz6Oabb9Y//vEPSdL555+vQGDD27t27drBc0pLS3XooYfqkksu0dtvv62+vj4lk0n985//1I9+9CPNmDFDn3zyyYhed2Mr+kZXX321/vGPfygajervf/+7zjvvPEnS0qVLdfTRRysWi43o+itXrhz2z5o1a0Z0PWCsSgKWqiucN2xi3X15Gg0AAAAAoFg11lc5vk4VojaZ5xR7GD0QsFzt8KneR3PeX1piqbIsdWEEpEgl900AAACAfDE/f1eUBlRRyvzFr1ItJGhljgUAAAA4FFUY/brrrpNlWSP6c84556R17ccee0zXXHONpA3t57NmzRr8XkdHx+Dfr7zySr3++uv61re+pQ8++EC9vb1asmSJLrvsMknSokWLdMopp8g29+0axrp167TtttuqrKxMzz33nG688Ubtvvvuqqur07777qt7771Xt956qySpqalJP/vZz9K+tiRtv/32w/454IADRnQ9IBPMST8TfgAAAABArjXWO5vRzdbzVJpanOc0FHkYXZIajPfRfI8kKWY0e9eEymSZ26ZhUCTkbO7jvgkAAACQO+bn79oUzdrwj9KSgKqM3afMOSoAAABQ7IoqjJ4tjzzyiE4//XQlk0lVV1fr8ccf17hx4wa/3929aYvmNWvW6Oqrr9b999+vadOmqaysTFOnTtVtt92mn/70p5KkV155RY8//njar3/22Wdr9erV6urq0uGHH57ynMsvv1x77rmnJOnBBx8cUdgd8CJzOzS2mwYAAAAA5JoZJG+Odg17z6WzN6F1Hb2OY8XejC6lfh9N7jAHW9wPx72In/smAAAAQK6Yn79rQsxf/I6iNAAAAGB4wS2fUjguvvhinXbaaSP6mZqammG/f8cdd+iKK65QMpnUuHHjNG/evMHQ90bh8KZ2p/r6el177bUprzVr1izdcccdikajeuyxx3TKKaeMaKzB4PD/nF/+8pe1ePFitbS06OOPP9ZOO+2U1nVXrFgx7PfXrFlDOzpyznzozOpzAAAAAECumUHyjt6Eop19mjCuPOX5ZsjasqTJ48Mpzy0mU11h9G7XOWaYg2bB4ZnvD/dNAAAAgNwxP38zf/G/2nCZVsbig1+z4BcAAABwKqowen19verr6zNyrYGBAV1yySX69a9/LUmqq6vTM888kzKUvXlL+owZM1RenvqBZFlZmQ488EDNmzdP77//fkbGubnJkycP/n3dunVph9EnTZqU8bEAYxUJsfocAAAAAJBfE2tCKgsG1JdIDh5rbukaMozeZITRJ9aEVFFaktUx+kFDnRFGb+lSMmkrELAGj8WMeX8NzejDorUPAAAAyB/Xzk6VzF/8zpxjmXNUAAAAoNgF8j0AP+rs7NQJJ5wwGESfOnWqXnvttSHbwSdPnqySkg0PFkOh0LDX3tjEHo/Hhz0vleG2gZakvr5NE6LKSraAhr9FjAYBVp8DAAAAAHItELA0xWg2NwPnmzOb0c1m9WJlvg+9iaTWtPc4jrmb0QlzDIf7JgAAAED+mJ+/a0I0o/uda44VZ44FAAAAbI4w+gi1tbXpiCOO0Lx58yRJBx54oP76179q5513HvJnKioqtMsuu0iSlixZMuz1P/nkE0nSdtttl/aYDjvsMI0fP15f+tKXhj1vY9t6SUmJdthhh7SvD3iRe7tpVp8DAAAAAHLPDFIPF0ZvaiGMnsqEceWqLHM2xJvBfVezINvcD8sM63PfBAAAAMgd8/M3i2n9z/w3ZPcpAAAAwIkw+gj09PRo5syZevPNNyVJxx9/vBYsWKCtttpqiz977LHHSpLeeuutIQPp7e3tev311yVJBx10UNrjqqysVCwW08svv6yOjo4hx/7EE09Ikg455BBVVVWlfX3Ai9zbTbP6HAAAAACQe2ag3AxRb84MqjcQRpckWZblei+WGu9VzGwWJMwxLO6bAAAAAPnj3tmJxbR+FwkZC367mGMBAAAAmyOMPgLf//739dprr0mSTj75ZD3xxBMKhUJp/ey5556rYDAo27Z10UUXqb/fPTm5+uqr1dXVpUAgoLPPPjvtcZ155pmSpN7eXn3ve99Lec5ll1022Lo+1DmAn7geqsZZfQ4AAAAAyD0zRD1cM7oZVG+sD2dlTH5kvo+uZvQ4YY6RcG8hz30TAAAAIFfMz98spvU/5lgAAADA8Aijp2nx4sW6++67JUk77rij7r77bvX09Kizs3PIPwMDA4M/P23aNF111VWSpOeee06f//zn9fzzzysajWrx4sX6+te/rl/96leSNgTHd911V8frv/HGG5o2bZqmTZs2eN5GX/va13TwwQdLku677z6ddtpp+tvf/qZoNKrXX39dX/nKV3TvvfdKks4++2wdd9xx2XmTgBwyHzqbDWkAAAAAAOSCqxm9pUvJpO06r7W7zzV3baxn57qNpm4pjM429yOS6r6Jbbv/dwkAAAAg88zWbBbT+l9tJbtPAQAAAMMJ5nsAfnHnnXcOPrD5+OOPtc0222zxZxYsWKDPfe5zg1/fcMMN6urq0m233aZXX31VX/rSl1w/c8YZZ+jnP/+563h3d7c+/PBDSVI0GnV8LxAIaM6cOTr++OP1+uuv65FHHtEjjzyS8toPPPDAFscN+IF7u+k+2bYty7LyNCIAAAAAQDEyw+g9/Ul90tGjbWucu+mZjeklAUuTatPbca8YNNQN3zAf6zKaBUOEOYZjbiHfl0gq3j+gcBm3gwEAAIBsYzFt4YmEzAW/NKMDAAAAm6MZPU2vv/76mK9hWZZuvfVWvfrqqzr99NM1adIklZWVadttt9XRRx+tJ554Qg899JDKy8tHfO36+nq9/PLLeuCBB/T5z39e48ePV2lpqSZOnKivfOUreuaZZ/TQQw8pGOSBEwqD2SDQP2Cru29giLMBAAAAAMiOrcaVK1xW4jhmBqmlDY3pm9u+NqTSEm7NbdRghPqXr+9WYiApSRpI2mrvSTi+b7bSwSlV8yLNfQAAAED29SWS6jKeWZolW/Afd1Ea8ysAAABgcyST07R48eKMXWvGjBmaMWPGiH7mc5/73Ba30g0Ggzr33HN17rnnjmV4gC+kumkT6+5TZTn/WQMAAAAA5I5lWWqoq9T7a9oHjzVFuzRjh3rHeU3RbsfXZqN6sZtqvB+JpK1VrXFNqatUW9z9kJ9t7oc3riKogCUlN7udGOvu08QIbfwAAABANrXG3Y3ZEeYvvmfOQXsTScX7BhQyFqcDAAAAxYr6JQC+VFUeVDBgOY6xAh0AAAAAkA9msLw5RTO62ZZuNoEXu9rKMtWEnAvPl/7fe5Zq+3PzXDgFApbrPeK+CQAAAJB9qT53R5i/+N5QRWkAAAAANiCMDsCXLMtiOzQAAAAAgCc01IcdX5st6JI7oE4zupsZ0N/4npnz/VBpiSpKaZ/bErO5j/smAAAAQPaZn7vHlQcVLCGW4XfVFaUyetKYYwEAAACbYdYDwLfMLe1YfQ4AAAAAyIfG+irH103RTsfXtm0TRk/D1CHD6M75fm2KRjq4mYv4uW8CAAAAZJ/5uTtSyfylEKTefYo5FgAAALARYXQAvmVuaceEHwAAAACQD41GM/qK9XENJO3Br6OdferoTTjOaagjjG4y35Ol/xdGjxltczXG4nSkZi7i574JAAAAkH3uxbTMXwqFuyiNZnQAAABgI8LoAHzL/VCVCT8AAAAAIPfMEHXfQFKrW+ODXze3OFvRy0oCmhgJ5WRsftJghPo3vm80o4+O2YzOfRMAAAAg+8zP3WabNvzLNceKs+AXAAAA2IgwOgDfMh8+s/ocAAAAAJAP4yvLVF0RdBxrinal/LskTakLqyRg5WRsfjK1vsrx9apYXL2JAVeYg2bB9JjvE/dNAAAAgOwzP3czfykc5r8lC34BAACATQijA/Atd8MXq88BAAAAALlnWZYa653t6MOF0RuMc7GB2YyetKUV67sVM+b7NTSjpyUS4r4JAAAAkGvs7FS4zDlWrIs5FgAAALARYXQAvhUxV5/HWX0OAAAAAMgPM2C+eQC92Qijm8F1bDCuolT1Vc65flO02zXfJ8yRnkgl900AAACAXDPbsmtoRi8YPJsGAAAAhkYYHYBvubebZvU5AAAAACA/zIB5c8vQzeiE0Yfmeh+jXSmaBQlzpMMM7XPfBAAAAMg+83M3i2kLh/lvye5TAAAAwCaE0QH4VsQ14Wf1OQAAAAAgP8wQ9cYAejJpO4LpktRQRxh9KOZ7szTapViX0SwYIsyRjkjIaO3jvgkAAACQdebnbhbTFg7z2XSMORYAAAAwiDA6AN9yh9FZfQ4AAAAAyA8zRL0yFlf/QFKfdPSopz/p+B7N6ENrSNGM3hYnzDEaqe6bJJN2nkYDAAAAFIfWuPN5ZQ3N6AUjEjYX/PJsGgAAANiIMDoA3zIfPrfF+3moCgAAAADICzNEPZC0tWJ992BD+kah0hJtXV2ey6H5ylQzjN7S5d7mvpIwRzpqK533TZK21NGbyNNoAAAAgMJn27arLZvFtIXD/Ldk9ykAAABgE8LoAHzLbPhK2lJ7D5N+AAAAAEDu1YRKVWeEf5uiXa4wekN9pSzLyuXQfMUM9a9p61F334DjWE2IMEc6IiF3aJ/mPgAAACB74v0D6ks4d8aqpRm9YLh2n4r3y7YpSgMAAAAkwugAfCxVkwAr0AEAAAAA+WIGqZuiXWo2wuiN9eFcDsl3Guoqt3gOYY70hMtKVFbivP3LfRMAAAAge1J93o6wmLZgmGH0gaTN7lMAAADA/yGMDsC3KkpLVFHq/M+YuXU3AAAAAAC50miE0ZtbutQU7R72HDiFykq0bU3FsOfUpGj8hptlWa6wBPdNAAAAgOwxP28HLGlcRTBPo0GmpSxK62LBLwAAACARRgfgc2abAA1fAAAAAIB8MYPmTdEuNUU7HcfSaf4udsO9R+MqggqWcEszXa5t5LlvAgAAAGSN+Xk7Ei5TIGDlaTTItHBZiUpLnP+eLPgFAAAANuDJDQBfcz1UjTPhBwAAAADkhxmiXvJpl1asjzuO0Yy+ZQ3DvEepmugwtEjYXMTPfRMAAAAgW1xhdHZ1Kigbdp8y5lhxFvwCAAAAEmF0AD5nPoSOsRUaAAAAACBPzKD52vYe9Q0khz0HblOHDaMT5hgJ8/2K0YwOAAAAZI3Zkm2WasH/zDkWC34BAACADQijA/A193bTTPgBAAAAAPnRUB8e9vvjKoIaX0mz95YM14xeQzP6iERCNKMDAAAAuWJ+3mZnp8JjzrFiXcyxAAAAAIkwOgCfYys0AAAAAIBXhMuC2rq6fMjvN9ZXyrKsHI7InxqHCfXTjD4ykUpjET/3TQAAAICsaTV2Iqph/lJwXEVpzLEAAAAASYTRAfgc200DAAAAALykcZhW7+G+h022Hx9WYIjMPs2CI2O+X9w3AQAAALLH/LzN/KXwmP+m5gIEAAAAoFgRRgfga67V52w3DQAAABSkxYsX66yzztKkSZNUVlambbfdVscff7yeffbZMV23ublZF154oaZOnary8nJNmDBBX/jCF/Twww9naOQoNsMFzhvqCKOnozxYou1qQym/VxOiWXAkIiHumwAAAECaP3++TjnlFE2aNEnl5eWqrq7WPvvso2uvvVbr1q0b9XWZUzuZn7fZ2anwmM+mY8yxAAAAAElSMN8DAICxiLD6HAAAACh4c+fO1amnnqr+/k2f99euXaunn35aTz/9tL7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      "text/plain": [
       "<Figure size 3000x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plot_summary_stats(\n",
    "    results[\"energy_hist\"],\n",
    "    results[\"frac_accept_hist\"],\n",
    "    results[\"adsorption_count_hist\"],\n",
    "    sampling_settings[\"total_sweeps\"],\n",
    "    save_folder=run_folder,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.13 ('surface_sampling': conda)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "e3e0723b7fd9866ee8f9ae4f62931968cf8456ef2195b337b8930ae9f61708cf"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
